实验:是否图片的重叠区域携带了决定分类的所有信息?
作者:互联网
使用重叠法将参与分类训练的同一批次图片的所有不重叠部分变成0,只保留图片的重叠部分训练网络,如果分类准确率上升表明重叠部分已经包含决定分类的全部信息。如果这个假设成立,表明神经网络实现分类是通过在分类对象之间建立一个公共的重叠区,并通过识别重叠区来实现的。
具体实验过程
mnist |
||
A |
B |
C |
0 |
1 |
|
0 |
2 |
|
0 |
3 |
|
0 |
4 |
|
0 |
5 |
|
0 |
6 |
|
0 |
7 |
|
0 |
8 |
|
0 |
9 |
|
0 |
1 |
2 |
0 |
1 |
3 |
本次实验构造了9个二分类网络和2个三分类网络来验证这个假设是否成立。网络结构是
(A,B)-81*30*2-(1,0)(0,1)
(A,B,C)-81*30*3-(1,00)(0,1,0)(0,0,1)
用一个三层网络来实现分类,不加卷积核,通过同样的固定收敛标准,199次测量取平均值的办法来比较。
收敛标准从0.5到1e-5,共25个,每个收敛标准收敛199次。一共11组共收敛了25*199*11次,对照组用重叠法训练网络共收敛了25*199*11次。因此这个实验共收敛了25*199*11*2次。
得到的实验数据
平均准确率p-ave |
|||||||||||
δ |
01 |
02 |
03 |
04 |
05 |
06 |
07 |
08 |
09 |
012 |
013 |
0.5 |
1.010562 |
0.985643 |
0.954759 |
0.972907 |
1.005327 |
1.010477 |
0.997612 |
0.972785 |
0.994202 |
1.057841 |
0.981816 |
0.4 |
0.95069 |
0.984626 |
0.970261 |
0.99017 |
0.984615 |
0.936324 |
0.941219 |
1.002714 |
0.9509 |
0.992104 |
0.909419 |
0.3 |
0.997544 |
0.978279 |
0.986308 |
0.988057 |
1.026692 |
0.989414 |
0.971975 |
1.01622 |
0.976514 |
0.969998 |
0.905215 |
0.2 |
0.997666 |
1.016997 |
1.003083 |
1.000811 |
1.013644 |
1.036889 |
0.955626 |
1.0228 |
0.996861 |
0.914024 |
0.93909 |
0.1 |
0.994973 |
0.998981 |
0.997497 |
1.004136 |
0.993289 |
1.049562 |
0.98977 |
1.006252 |
1.004545 |
0.98074 |
0.984664 |
0.01 |
0.998772 |
1.032332 |
0.99643 |
1.000166 |
0.997644 |
1.010251 |
0.996116 |
1.040274 |
0.999342 |
0.979411 |
0.999656 |
0.001 |
0.999106 |
0.993466 |
0.999629 |
0.999512 |
1.000155 |
1.002983 |
0.983877 |
0.994591 |
0.998418 |
0.995929 |
0.999194 |
9.00E-04 |
0.999343 |
0.995635 |
1 |
0.999246 |
1.000061 |
1.002021 |
0.988073 |
0.994341 |
0.994338 |
0.996676 |
1.000053 |
8.00E-04 |
0.999576 |
0.995988 |
1.001718 |
0.999398 |
0.999837 |
0.999973 |
0.993841 |
0.994025 |
0.990346 |
0.997103 |
1.000852 |
7.00E-04 |
1.000021 |
0.99852 |
1.003257 |
0.99975 |
1.000177 |
0.995462 |
0.994669 |
0.993162 |
0.98814 |
0.994989 |
1.000795 |
6.00E-04 |
0.999719 |
0.99896 |
0.998527 |
0.999662 |
1.000903 |
0.989662 |
0.993528 |
0.993871 |
0.987836 |
0.99486 |
0.999222 |
5.00E-04 |
0.999579 |
0.999729 |
0.983411 |
0.999739 |
1.000594 |
0.986574 |
0.993329 |
0.997045 |
0.988553 |
0.995047 |
0.998661 |
4.00E-04 |
0.999717 |
1.002456 |
0.979308 |
0.999812 |
0.998787 |
0.988348 |
0.994671 |
0.999903 |
0.991453 |
0.9928 |
1.000275 |
3.00E-04 |
0.998776 |
1.004612 |
0.989602 |
1.000826 |
0.996718 |
0.991392 |
0.997367 |
1.00447 |
0.99729 |
0.993128 |
0.999601 |
2.00E-04 |
0.998894 |
0.999062 |
0.995864 |
1.002085 |
0.996421 |
0.992696 |
0.997817 |
1.007148 |
0.993548 |
0.994696 |
0.996487 |
1.00E-04 |
1.000852 |
1.002931 |
1.002818 |
0.994955 |
1.006258 |
0.999963 |
0.999249 |
1.011294 |
0.993828 |
0.996692 |
0.999001 |
9.00E-05 |
1.000617 |
1.003625 |
1.003767 |
0.994636 |
1.0058 |
0.999979 |
0.998419 |
1.013065 |
0.992941 |
0.996719 |
1.000574 |
8.00E-05 |
1.000388 |
1.004641 |
1.003945 |
0.993841 |
1.005845 |
0.999674 |
0.997906 |
1.012799 |
0.990986 |
0.996571 |
1.000074 |
7.00E-05 |
1.000174 |
1.004352 |
1.003379 |
0.99521 |
1.005561 |
1.001128 |
0.996904 |
1.013894 |
0.989524 |
0.996029 |
0.999591 |
6.00E-05 |
0.999841 |
1.003942 |
1.002291 |
0.997387 |
1.006394 |
1.001567 |
0.996155 |
1.012944 |
0.990426 |
0.996065 |
0.999802 |
5.00E-05 |
0.99928 |
1.00316 |
1.000688 |
0.99984 |
1.008157 |
1.00489 |
0.99598 |
1.014733 |
0.992503 |
0.996005 |
0.999348 |
4.00E-05 |
0.999047 |
1.002764 |
1.001069 |
1.000356 |
1.011427 |
1.014654 |
0.996366 |
1.021431 |
0.993715 |
0.995526 |
0.998539 |
3.00E-05 |
0.999082 |
1.003092 |
1.004241 |
1.000532 |
1.011903 |
1.020132 |
0.99724 |
1.03468 |
0.994698 |
0.995441 |
0.997658 |
2.00E-05 |
0.999175 |
1.002069 |
1.005558 |
0.998564 |
1.012158 |
1.004678 |
0.999887 |
1.034621 |
0.995565 |
0.994653 |
0.995774 |
1.00E-05 |
0.999268 |
1.003453 |
1.004287 |
0.993217 |
1.009703 |
1.002874 |
1.003853 |
1.009891 |
0.999042 |
0.992808 |
0.99342 |
ave |
0.999772 |
1.003403 |
1.003204 |
0.996854 |
1.008321 |
1.004954 |
0.998196 |
1.017935 |
0.993323 |
0.995651 |
0.998378 |
首先比较平均分类准确率,表格中的数据使用对应的重叠法的平均分类准确率/正常输入得到的平均分类准确率。
数据统计1e-5<=δ<=1e-4区间的平均值。网络02,03,05,06,08的比值都是显著大于1的,表明重叠法有效的提升了这些网络的性能。对这5个网络来说非重叠区域携带的信息只是干扰。重叠区域已经携带了决定分类的所有信息。
但是对于网络01,04,07,09,012,013,这6个网络用重叠法事实上导致了分类性能的下降,表明非重叠区与仍然有决定分类的重要信息,舍弃这部分信息导致了分类准确率的下降。
但是从绝对值来看性能下降的最大降幅也只有1-0.993323(网络09)用重叠法也仅仅使准确率下降了不到千分之7.这个实验至少说明了重叠区域携带了决定网络分类的绝大部分信息。
再来比较最大分类准确率
最大值p-max |
|||||||||||
δ |
01 |
02 |
03 |
04 |
05 |
06 |
07 |
08 |
09 |
012 |
013 |
0.5 |
0.960077 |
0.925291 |
0.833613 |
0.933662 |
0.930468 |
1.041563 |
0.935602 |
0.895297 |
0.961894 |
1.014138 |
0.883796 |
0.4 |
0.989573 |
0.991224 |
0.992795 |
1.001036 |
1.020443 |
1.022602 |
0.988241 |
1.009554 |
0.997409 |
0.987271 |
0.947027 |
0.3 |
0.999054 |
1 |
0.993289 |
1.005723 |
1.017544 |
1.026849 |
0.991269 |
1.017479 |
0.999481 |
0.990661 |
0.937434 |
0.2 |
0.999527 |
1.007228 |
1.00567 |
1.002585 |
1.011745 |
1.023991 |
0.991816 |
1.012638 |
1.001552 |
0.936228 |
0.961615 |
0.1 |
0.999527 |
1 |
1.002561 |
1.002579 |
0.99613 |
1.040952 |
0.997955 |
1.002088 |
1.004134 |
0.986586 |
0.996033 |
0.01 |
0.999053 |
0.998474 |
1.003592 |
1 |
0.998348 |
1.001058 |
0.996425 |
1.006296 |
0.999489 |
0.989839 |
1.001318 |
0.001 |
1.000473 |
0.997972 |
0.99949 |
1.001027 |
0.996721 |
0.992685 |
0.995927 |
0.997403 |
0.997457 |
0.999675 |
1.001956 |
9.00E-04 |
0.999527 |
0.997467 |
0.997964 |
1.001026 |
0.996177 |
0.993208 |
0.994399 |
0.996885 |
0.99695 |
0.999027 |
0.99935 |
8.00E-04 |
0.999527 |
0.997973 |
0.99695 |
1.001027 |
0.997268 |
0.993208 |
0.99389 |
0.997405 |
0.99695 |
0.997085 |
0.999675 |
7.00E-04 |
1 |
0.996962 |
0.99695 |
1.001026 |
0.997813 |
0.993208 |
0.993893 |
0.995339 |
0.995427 |
0.996437 |
0.99935 |
6.00E-04 |
1 |
0.99696 |
0.99695 |
1.000513 |
0.999452 |
0.992167 |
0.997454 |
0.995868 |
0.992378 |
0.997085 |
0.998052 |
5.00E-04 |
1 |
0.997975 |
0.996441 |
1 |
0.996723 |
0.98799 |
0.997454 |
0.995351 |
0.991874 |
0.995474 |
0.998051 |
4.00E-04 |
0.998582 |
0.996965 |
0.996441 |
0.999488 |
0.99509 |
0.990601 |
0.997454 |
0.998451 |
0.992886 |
0.995474 |
1.000325 |
3.00E-04 |
0.998582 |
0.996967 |
0.998475 |
0.998975 |
1.003268 |
0.990601 |
0.997964 |
0.998451 |
0.992378 |
0.995804 |
0.99935 |
2.00E-04 |
0.999054 |
1.001517 |
0.999492 |
1.000513 |
1.004897 |
0.993714 |
0.997964 |
1.008868 |
0.992378 |
0.998063 |
1 |
1.00E-04 |
1.000473 |
1.003537 |
1.002541 |
1.001026 |
1.006536 |
0.99843 |
0.997964 |
1.007792 |
0.992374 |
0.998066 |
1.001947 |
9.00E-05 |
1 |
1.001009 |
1.00305 |
1.001026 |
1.005988 |
0.998953 |
0.997457 |
1.007273 |
0.992883 |
0.998389 |
1.003892 |
8.00E-05 |
1 |
1.002524 |
1.002541 |
1.001026 |
1.005441 |
0.999477 |
0.997964 |
1.005711 |
0.991866 |
0.99839 |
1.003244 |
7.00E-05 |
1 |
1.003027 |
1.002033 |
1.00154 |
1.007077 |
1 |
0.997455 |
1.006231 |
0.992374 |
0.997102 |
1.002594 |
6.00E-05 |
1 |
1.003027 |
1.002031 |
1.002054 |
1.006532 |
1.000523 |
0.998472 |
1.007269 |
0.992374 |
0.997426 |
1.001296 |
5.00E-05 |
1 |
1.003027 |
1.003049 |
1.00154 |
1.005985 |
1.000523 |
1.002038 |
1.007269 |
0.993391 |
0.997103 |
0.999031 |
4.00E-05 |
0.999527 |
1.002521 |
1.004065 |
1 |
1.008719 |
1.000523 |
1.002546 |
1.005187 |
0.992374 |
0.997427 |
1.002264 |
3.00E-05 |
0.999527 |
1.002521 |
1.003555 |
0.999488 |
1.013691 |
1 |
1.002036 |
1.005708 |
0.993388 |
0.996465 |
0.998709 |
2.00E-05 |
0.999527 |
1.002521 |
1.005589 |
0.998975 |
1.010917 |
1.001569 |
1.001525 |
1.004143 |
0.996432 |
0.996789 |
0.998065 |
1.00E-05 |
0.999527 |
1.003026 |
1.005081 |
0.998976 |
1.009799 |
1.001045 |
1.002542 |
1.003102 |
0.995927 |
0.996149 |
0.998068 |
ave |
0.999858 |
1.002674 |
1.003354 |
1.000565 |
1.008068 |
1.000104 |
1 |
1.005969 |
0.993338 |
0.997331 |
1.000911 |
这组数据同样使用对应的重叠法的数据/正常得到的数据,
网络02,03,05,06,08的比值仍然是大于1的,表明重叠法强化了网络的性能,也再次确认了这几个网络中重叠区域的重要价值。
网络04,013的比值也是大于1的,表明这两个网络的非重叠区域携带的信息的稀缺程度大于1/200,因为在约200次以内重叠区域携带的信息就可能覆盖因舍弃非重叠区域而丢弃的信息。由此07的非重叠区域信息的稀缺程度大约等于1/200,而01,09,012的非重叠部分携带的信息的稀缺程度要小于1/200,因为仅靠重叠部分在约200次以内也未能超过正常状态下产生的分类准确率最大值。
这组数据表明对于02,03,04,05,06,07,08,013这8个网络重叠区域有不小于1/200的概率携带了决定分类的全部有效信息。
而对于01,09,012这3个网络重叠区域携带全部有效信息的概率小于1/200.如果用收敛标准为1e-5<=δ<=1e-4区间的平均分类准确率的值来衡量,01,09,012这三个网络重叠部分携带的有效信息的损失至多不超过7‰,网络09,0.993338.
这组数据也侧面说明了重叠区域的价值。
综合这两组数字可以相对客观的得出结论,神经网络分类图片的重叠区域携带了决定分类的绝大部分信息,可以对图片分类产生决定性影响。
数据
正常 | 01 | 无核 | 正常 | 02 | 无核 | |||||
迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | 迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | |
7.949749 | 0.519843 | 0.5 | 0.069267 | 0.982979 | 9.356784 | 0.519446 | 0.5 | 0.066583 | 0.898111 | |
151.7035 | 0.973848 | 0.4 | 0.074317 | 0.997636 | 210.9598 | 0.866532 | 0.4 | 0.078517 | 0.962724 | |
194.2161 | 0.997384 | 0.3 | 0.07415 | 0.999527 | 269.7789 | 0.950133 | 0.3 | 0.081717 | 0.965706 | |
234.8291 | 0.99765 | 0.2 | 0.077567 | 0.999527 | 325.6332 | 0.939239 | 0.2 | 0.083533 | 0.962724 | |
310.402 | 0.99779 | 0.1 | 0.082033 | 0.999527 | 411.1156 | 0.958358 | 0.1 | 0.088883 | 0.968688 | |
647.7839 | 0.998629 | 0.01 | 0.102883 | 0.999054 | 685.995 | 0.939326 | 0.01 | 0.108333 | 0.977137 | |
2007.382 | 0.998734 | 0.001 | 0.18645 | 0.999054 | 1432.593 | 0.9767 | 0.001 | 0.157117 | 0.980119 | |
2099.392 | 0.998684 | 9.00E-04 | 0.1907 | 0.999054 | 1469.94 | 0.976775 | 9.00E-04 | 0.1592 | 0.981113 | |
2167.005 | 0.998539 | 8.00E-04 | 0.198683 | 0.999054 | 1474.804 | 0.97671 | 8.00E-04 | 0.156567 | 0.980616 | |
2340.663 | 0.998175 | 7.00E-04 | 0.21225 | 0.999054 | 1541.688 | 0.977002 | 7.00E-04 | 0.163983 | 0.98161 | |
2620.94 | 0.998501 | 6.00E-04 | 0.2223 | 0.999054 | 1747.91 | 0.977669 | 6.00E-04 | 0.17505 | 0.981113 | |
2864.603 | 0.998719 | 5.00E-04 | 0.236067 | 0.999054 | 1953.216 | 0.977677 | 5.00E-04 | 0.18705 | 0.98161 | |
3077.377 | 0.99847 | 4.00E-04 | 0.251017 | 1 | 2189.528 | 0.975286 | 4.00E-04 | 0.202517 | 0.982604 | |
4194.266 | 0.999356 | 3.00E-04 | 0.322033 | 1 | 2351.286 | 0.973735 | 3.00E-04 | 0.21545 | 0.983101 | |
5112.06 | 0.999354 | 2.00E-04 | 0.376917 | 1 | 2728.874 | 0.97986 | 2.00E-04 | 0.235283 | 0.983101 | |
5308.844 | 0.997814 | 1.00E-04 | 0.386233 | 0.999054 | 3229.085 | 0.980764 | 1.00E-04 | 0.269567 | 0.983598 | |
5502.422 | 0.998094 | 9.00E-05 | 0.403217 | 0.999527 | 3394.925 | 0.980546 | 9.00E-05 | 0.27885 | 0.985586 | |
5762.844 | 0.998413 | 8.00E-05 | 0.420183 | 0.999527 | 3563.246 | 0.980419 | 8.00E-05 | 0.294517 | 0.984592 | |
6276.281 | 0.998655 | 7.00E-05 | 0.44645 | 0.999527 | 3710.432 | 0.980749 | 7.00E-05 | 0.299567 | 0.985089 | |
7741.688 | 0.998981 | 6.00E-05 | 0.530517 | 0.999527 | 3956.523 | 0.981418 | 6.00E-05 | 0.315167 | 0.985089 | |
9718.231 | 0.999439 | 5.00E-05 | 0.6587 | 0.999527 | 4213.608 | 0.982375 | 5.00E-05 | 0.33155 | 0.985089 | |
11940.51 | 0.999527 | 4.00E-05 | 0.79265 | 0.999527 | 4531.337 | 0.982959 | 4.00E-05 | 0.352717 | 0.985586 | |
14787.96 | 0.999499 | 3.00E-05 | 0.962917 | 0.999527 | 5093.397 | 0.983049 | 3.00E-05 | 0.3886 | 0.985586 | |
15441.05 | 0.999389 | 2.00E-05 | 1.008633 | 0.999527 | 6601.477 | 0.983661 | 2.00E-05 | 0.488517 | 0.985586 | |
23828.85 | 0.999347 | 1.00E-05 | 1.510667 | 0.999527 | 8579.095 | 0.982357 | 1.00E-05 | 0.6114 | 0.985586 | |
重叠 | 01 | 无核 | 重叠 | 02 | 无核 | |||||
迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | 迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | |
12.02513 | 0.525334 | 0.5 | 0.06665 | 0.943735 | 9.281407 | 0.511988 | 0.5 | 0.068383 | 0.831014 | |
280.7186 | 0.925828 | 0.4 | 0.080833 | 0.987234 | 340.2663 | 0.85321 | 0.4 | 0.08545 | 0.954274 | |
360.3065 | 0.994934 | 0.3 | 0.084767 | 0.998582 | 426.0302 | 0.929496 | 0.3 | 0.090717 | 0.965706 | |
411.8291 | 0.995322 | 0.2 | 0.090167 | 0.999054 | 500.1859 | 0.955203 | 0.2 | 0.095467 | 0.969682 | |
530.4573 | 0.992775 | 0.1 | 0.094883 | 0.999054 | 644.2814 | 0.957381 | 0.1 | 0.104717 | 0.968688 | |
893.6734 | 0.997403 | 0.01 | 0.1195 | 0.998109 | 1112.03 | 0.969697 | 0.01 | 0.141617 | 0.975646 | |
1688.402 | 0.99784 | 0.001 | 0.177383 | 0.999527 | 2281.769 | 0.970319 | 0.001 | 0.212783 | 0.978131 | |
1748.658 | 0.998028 | 9.00E-04 | 0.1786 | 0.998582 | 2366.276 | 0.972512 | 9.00E-04 | 0.216083 | 0.978628 | |
1797.573 | 0.998116 | 8.00E-04 | 0.1737 | 0.998582 | 2404.467 | 0.972791 | 8.00E-04 | 0.217217 | 0.978628 | |
1838.402 | 0.998197 | 7.00E-04 | 0.17575 | 0.999054 | 2597.276 | 0.975556 | 7.00E-04 | 0.230667 | 0.978628 | |
1918.678 | 0.99822 | 6.00E-04 | 0.180867 | 0.999054 | 2865.508 | 0.976653 | 6.00E-04 | 0.247083 | 0.978131 | |
2073.307 | 0.998299 | 5.00E-04 | 0.189333 | 0.999054 | 3190.231 | 0.977412 | 5.00E-04 | 0.268467 | 0.979622 | |
2130.211 | 0.998187 | 4.00E-04 | 0.194433 | 0.998582 | 3387.332 | 0.977682 | 4.00E-04 | 0.280367 | 0.979622 | |
2202.367 | 0.998133 | 3.00E-04 | 0.198833 | 0.998582 | 3880.598 | 0.978226 | 3.00E-04 | 0.31655 | 0.980119 | |
2542.714 | 0.998249 | 2.00E-04 | 0.21915 | 0.999054 | 6708.151 | 0.97894 | 2.00E-04 | 0.4951 | 0.984592 | |
3106.513 | 0.998665 | 1.00E-04 | 0.25245 | 0.999527 | 16564.7 | 0.983638 | 1.00E-04 | 1.128517 | 0.987078 | |
3206.643 | 0.99871 | 9.00E-05 | 0.259583 | 0.999527 | 17734.32 | 0.9841 | 9.00E-05 | 1.205867 | 0.986581 | |
3384.03 | 0.9988 | 8.00E-05 | 0.2703 | 0.999527 | 19353.75 | 0.98497 | 8.00E-05 | 1.3086 | 0.987078 | |
3767.598 | 0.998829 | 7.00E-05 | 0.292033 | 0.999527 | 20519.56 | 0.985017 | 7.00E-05 | 1.383283 | 0.988072 | |
4019.492 | 0.998822 | 6.00E-05 | 0.309367 | 0.999527 | 21291.9 | 0.985287 | 6.00E-05 | 1.429217 | 0.988072 | |
4679.06 | 0.998719 | 5.00E-05 | 0.3517 | 0.999527 | 22457.05 | 0.985479 | 5.00E-05 | 1.5048 | 0.988072 | |
5194.196 | 0.998574 | 4.00E-05 | 0.3824 | 0.999054 | 24930.77 | 0.985676 | 4.00E-05 | 1.668233 | 0.988072 | |
5537.467 | 0.998582 | 3.00E-05 | 0.404433 | 0.999054 | 27828.73 | 0.986088 | 3.00E-05 | 1.8504 | 0.988072 | |
6756.543 | 0.998565 | 2.00E-05 | 0.483933 | 0.999054 | 31770.94 | 0.985696 | 2.00E-05 | 2.034867 | 0.988072 | |
8724.392 | 0.998615 | 1.00E-05 | 0.603817 | 0.999054 | 39501.2 | 0.985749 | 1.00E-05 | 2.475483 | 0.988569 |
正常 | 03 | 无核 | 正常 | 04 | 无核 | |||||
迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | 迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | |
10.03015 | 0.535721 | 0.5 | 0.064833 | 0.896985 | 8.703518 | 0.531851 | 0.5 | 0.06105 | 0.929664 | |
214 | 0.88045 | 0.4 | 0.075033 | 0.976382 | 193.0402 | 0.900978 | 0.4 | 0.06925 | 0.9842 | |
277.2714 | 0.953127 | 0.3 | 0.0773 | 0.973367 | 244.9347 | 0.968049 | 0.3 | 0.072283 | 0.979613 | |
336.5477 | 0.966463 | 0.2 | 0.088583 | 0.974874 | 300.8492 | 0.979469 | 0.2 | 0.075667 | 0.985729 | |
408.9447 | 0.972405 | 0.1 | 0.086733 | 0.980905 | 397.2513 | 0.98265 | 0.1 | 0.081883 | 0.988277 | |
697.5678 | 0.969753 | 0.01 | 0.1023 | 0.979397 | 668.794 | 0.989904 | 0.01 | 0.098167 | 0.991845 | |
1432.874 | 0.981334 | 0.001 | 0.150867 | 0.98593 | 1578.874 | 0.991102 | 0.001 | 0.155133 | 0.992864 | |
1462.05 | 0.981336 | 9.00E-04 | 0.150983 | 0.987437 | 1687.93 | 0.991586 | 9.00E-04 | 0.15975 | 0.993374 | |
1512.905 | 0.980273 | 8.00E-04 | 0.154217 | 0.988442 | 1786.176 | 0.992022 | 8.00E-04 | 0.164333 | 0.992864 | |
1634.769 | 0.97624 | 7.00E-04 | 0.160517 | 0.988442 | 1879.774 | 0.992245 | 7.00E-04 | 0.171033 | 0.993374 | |
1807.854 | 0.976872 | 6.00E-04 | 0.170817 | 0.988442 | 1986.151 | 0.992462 | 6.00E-04 | 0.176583 | 0.993884 | |
2000.543 | 0.982435 | 5.00E-04 | 0.182967 | 0.988442 | 2082.462 | 0.99267 | 5.00E-04 | 0.181783 | 0.994393 | |
2190.181 | 0.986298 | 4.00E-04 | 0.19675 | 0.988442 | 2180.704 | 0.993005 | 4.00E-04 | 0.187283 | 0.994903 | |
2519.387 | 0.986478 | 3.00E-04 | 0.21445 | 0.988442 | 2511.181 | 0.992529 | 3.00E-04 | 0.2079 | 0.994903 | |
3092.035 | 0.986556 | 2.00E-04 | 0.256717 | 0.988945 | 3000.452 | 0.991225 | 2.00E-04 | 0.236883 | 0.993374 | |
4020.884 | 0.984798 | 1.00E-04 | 0.309267 | 0.988945 | 4260.503 | 0.99144 | 1.00E-04 | 0.312183 | 0.993374 | |
4122.94 | 0.984766 | 9.00E-05 | 0.313367 | 0.988442 | 4498.633 | 0.991207 | 9.00E-05 | 0.326183 | 0.993374 | |
4381.709 | 0.985036 | 8.00E-05 | 0.334133 | 0.988945 | 4747.538 | 0.990959 | 8.00E-05 | 0.340833 | 0.993374 | |
4862.809 | 0.985604 | 7.00E-05 | 0.363017 | 0.988945 | 4898.653 | 0.990905 | 7.00E-05 | 0.3504 | 0.992864 | |
5464.472 | 0.986374 | 6.00E-05 | 0.39855 | 0.989447 | 5077.508 | 0.991008 | 6.00E-05 | 0.361017 | 0.992355 | |
6367.533 | 0.987508 | 5.00E-05 | 0.45765 | 0.988945 | 5352.915 | 0.991264 | 5.00E-05 | 0.378667 | 0.992864 | |
7179.533 | 0.987061 | 4.00E-05 | 0.504817 | 0.988945 | 5996.151 | 0.991576 | 4.00E-05 | 0.416017 | 0.994393 | |
8391 | 0.98547 | 3.00E-05 | 0.579817 | 0.989447 | 6741.417 | 0.99099 | 3.00E-05 | 0.463 | 0.994903 | |
10055.13 | 0.984998 | 2.00E-05 | 0.685467 | 0.988945 | 8241.487 | 0.990111 | 2.00E-05 | 0.554067 | 0.994903 | |
16955.01 | 0.985437 | 1.00E-05 | 1.129667 | 0.988945 | 12059.31 | 0.99341 | 1.00E-05 | 0.780033 | 0.995413 | |
重叠 | 03 | 无核 | 重叠 | 04 | 无核 | |||||
迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | 迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | |
8.889447 | 0.511485 | 0.5 | 0.062833 | 0.747739 | 8.286432 | 0.517442 | 0.5 | 0.063067 | 0.867992 | |
360.0101 | 0.854266 | 0.4 | 0.081217 | 0.969347 | 316.3367 | 0.892121 | 0.4 | 0.0788 | 0.985219 | |
442.0603 | 0.940077 | 0.3 | 0.088633 | 0.966834 | 412.1759 | 0.956487 | 0.3 | 0.083967 | 0.985219 | |
527.8492 | 0.969443 | 0.2 | 0.092967 | 0.980402 | 481.3216 | 0.980263 | 0.2 | 0.088217 | 0.988277 | |
640.201 | 0.96997 | 0.1 | 0.09905 | 0.983417 | 596.201 | 0.986715 | 0.1 | 0.095883 | 0.990826 | |
1027.613 | 0.966291 | 0.01 | 0.123783 | 0.982915 | 913.3668 | 0.990068 | 0.01 | 0.11455 | 0.991845 | |
1882.196 | 0.98097 | 0.001 | 0.17665 | 0.985427 | 1502.462 | 0.990618 | 0.001 | 0.15395 | 0.993884 | |
2124.603 | 0.981336 | 9.00E-04 | 0.191317 | 0.985427 | 1532.965 | 0.990838 | 9.00E-04 | 0.15475 | 0.994393 | |
2310.317 | 0.981958 | 8.00E-04 | 0.203933 | 0.985427 | 1595.799 | 0.991425 | 8.00E-04 | 0.158283 | 0.993884 | |
2434.894 | 0.97942 | 7.00E-04 | 0.2123 | 0.985427 | 1735.638 | 0.991996 | 7.00E-04 | 0.166033 | 0.994393 | |
2514.709 | 0.975432 | 6.00E-04 | 0.214483 | 0.985427 | 1893.186 | 0.992127 | 6.00E-04 | 0.177 | 0.994393 | |
2584.161 | 0.966137 | 5.00E-04 | 0.219783 | 0.984925 | 2071.789 | 0.992411 | 5.00E-04 | 0.1873 | 0.994393 | |
2788.864 | 0.96589 | 4.00E-04 | 0.232033 | 0.984925 | 2195.186 | 0.992818 | 4.00E-04 | 0.19595 | 0.994393 | |
3581.623 | 0.97622 | 3.00E-04 | 0.281383 | 0.986935 | 2344.08 | 0.993348 | 3.00E-04 | 0.20405 | 0.993884 | |
7254.774 | 0.982475 | 2.00E-04 | 0.511 | 0.988442 | 2361.397 | 0.993292 | 2.00E-04 | 0.205967 | 0.993884 | |
15178.34 | 0.987574 | 1.00E-04 | 0.995767 | 0.991457 | 2617.96 | 0.986438 | 1.00E-04 | 0.221767 | 0.994393 | |
16403 | 0.988475 | 9.00E-05 | 1.071233 | 0.991457 | 2701.548 | 0.98589 | 9.00E-05 | 0.226383 | 0.994393 | |
17599.95 | 0.988922 | 8.00E-05 | 1.142583 | 0.991457 | 2766.181 | 0.984855 | 8.00E-05 | 0.23305 | 0.994393 | |
18170.47 | 0.988935 | 7.00E-05 | 1.178567 | 0.990955 | 3034.291 | 0.986159 | 7.00E-05 | 0.242183 | 0.994393 | |
18399.82 | 0.988634 | 6.00E-05 | 1.215167 | 0.991457 | 3521.397 | 0.988418 | 6.00E-05 | 0.26965 | 0.994393 | |
19024.32 | 0.988187 | 5.00E-05 | 1.2372 | 0.99196 | 4362.503 | 0.991105 | 5.00E-05 | 0.320283 | 0.994393 | |
20923.2 | 0.988116 | 4.00E-05 | 1.346367 | 0.992965 | 6561.136 | 0.99193 | 4.00E-05 | 0.4582 | 0.994393 | |
24711.29 | 0.989649 | 3.00E-05 | 1.5876 | 0.992965 | 11045.08 | 0.991517 | 3.00E-05 | 0.745217 | 0.994393 | |
28002.55 | 0.990472 | 2.00E-05 | 1.788917 | 0.994472 | 12777.64 | 0.98869 | 2.00E-05 | 0.8512 | 0.993884 | |
34822.22 | 0.989662 | 1.00E-05 | 2.199683 | 0.99397 | 20794.52 | 0.986671 | 1.00E-05 | 1.3479 | 0.994393 |
正常 | 05 | 无核 | 正常 | 06 | 无核 | |||||
迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | 迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | |
8.849246 | 0.520068 | 0.5 | 0.059417 | 0.845085 | 8.386935 | 0.522183 | 0.5 | 0.061417 | 0.831785 | |
258.8844 | 0.816929 | 0.4 | 0.070267 | 0.940705 | 214.6884 | 0.812458 | 0.4 | 0.07035 | 0.936017 | |
347.7588 | 0.904195 | 0.3 | 0.07575 | 0.94391 | 272.2462 | 0.910416 | 0.3 | 0.073633 | 0.941692 | |
440.6784 | 0.937473 | 0.2 | 0.0812 | 0.955128 | 326.4121 | 0.926786 | 0.2 | 0.077267 | 0.946336 | |
547.8794 | 0.962038 | 0.1 | 0.0878 | 0.966346 | 392.809 | 0.916919 | 0.1 | 0.081967 | 0.932405 | |
854.9296 | 0.966 | 0.01 | 0.108267 | 0.970085 | 725.2663 | 0.962503 | 0.01 | 0.100733 | 0.975748 | |
1520.281 | 0.972582 | 0.001 | 0.145783 | 0.977564 | 1655.633 | 0.974454 | 0.001 | 0.15855 | 0.987616 | |
1565.859 | 0.972751 | 9.00E-04 | 0.148717 | 0.978098 | 1715.487 | 0.974859 | 9.00E-04 | 0.161117 | 0.987616 | |
1663.829 | 0.972998 | 8.00E-04 | 0.155017 | 0.977564 | 1746.543 | 0.976036 | 8.00E-04 | 0.16255 | 0.987616 | |
1722.08 | 0.972727 | 7.00E-04 | 0.158933 | 0.97703 | 1809.07 | 0.978751 | 7.00E-04 | 0.1662 | 0.987616 | |
1796.01 | 0.971975 | 6.00E-04 | 0.162933 | 0.975427 | 1917.171 | 0.982936 | 6.00E-04 | 0.172933 | 0.988132 | |
1860.814 | 0.971613 | 5.00E-04 | 0.165967 | 0.978098 | 2015.337 | 0.9859 | 5.00E-04 | 0.17845 | 0.988132 | |
1976.392 | 0.971876 | 4.00E-04 | 0.17305 | 0.979167 | 2152.101 | 0.984279 | 4.00E-04 | 0.187067 | 0.988132 | |
2400.894 | 0.974193 | 3.00E-04 | 0.19965 | 0.980769 | 2468.668 | 0.981385 | 3.00E-04 | 0.205667 | 0.988132 | |
2889.005 | 0.978804 | 2.00E-04 | 0.22725 | 0.981838 | 3020.688 | 0.981647 | 2.00E-04 | 0.238683 | 0.985036 | |
3654.734 | 0.978898 | 1.00E-04 | 0.272383 | 0.980769 | 4026.884 | 0.978466 | 1.00E-04 | 0.298833 | 0.986068 | |
3803.186 | 0.978904 | 9.00E-05 | 0.280833 | 0.981303 | 4574.678 | 0.978847 | 9.00E-05 | 0.33145 | 0.986068 | |
4038.543 | 0.978646 | 8.00E-05 | 0.295633 | 0.981838 | 5040.045 | 0.979822 | 8.00E-05 | 0.359617 | 0.986068 | |
4262.251 | 0.978882 | 7.00E-05 | 0.309167 | 0.981303 | 5518.402 | 0.979321 | 7.00E-05 | 0.3878 | 0.986068 | |
4393.869 | 0.978254 | 6.00E-05 | 0.315733 | 0.981303 | 5989.905 | 0.979337 | 6.00E-05 | 0.416083 | 0.986068 | |
4525.648 | 0.976756 | 5.00E-05 | 0.324 | 0.981838 | 6524.844 | 0.976806 | 5.00E-05 | 0.4516 | 0.986068 | |
4641.809 | 0.97441 | 4.00E-05 | 0.33075 | 0.980235 | 7490.151 | 0.968387 | 4.00E-05 | 0.506683 | 0.986068 | |
4650 | 0.973999 | 3.00E-05 | 0.331533 | 0.975427 | 9533.332 | 0.964547 | 3.00E-05 | 0.62935 | 0.986068 | |
4662.191 | 0.97415 | 2.00E-05 | 0.332783 | 0.978632 | 12042.67 | 0.980001 | 2.00E-05 | 0.781567 | 0.986584 | |
5357.417 | 0.975803 | 1.00E-05 | 0.374083 | 0.981303 | 21193.02 | 0.982607 | 1.00E-05 | 1.330567 | 0.9871 | |
重叠 | 05 | 无核 | 重叠 | 06 | 无核 | |||||
迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | 迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | |
11.38191 | 0.522839 | 0.5 | 0.061767 | 0.786325 | 9.38191 | 0.527654 | 0.5 | 0.06195 | 0.866357 | |
500.4171 | 0.804361 | 0.4 | 0.088317 | 0.959936 | 360.2663 | 0.760723 | 0.4 | 0.079933 | 0.957172 | |
634.3367 | 0.92833 | 0.3 | 0.094383 | 0.96047 | 464.0603 | 0.900778 | 0.3 | 0.086667 | 0.966976 | |
736.7638 | 0.950264 | 0.2 | 0.10265 | 0.966346 | 551.4673 | 0.960974 | 0.2 | 0.092517 | 0.96904 | |
925.196 | 0.955582 | 0.1 | 0.11305 | 0.962607 | 628.2663 | 0.962363 | 0.1 | 0.097333 | 0.970588 | |
1551.663 | 0.963724 | 0.01 | 0.155867 | 0.968483 | 1134.523 | 0.97237 | 0.01 | 0.132517 | 0.97678 | |
2944 | 0.972732 | 0.001 | 0.2403 | 0.974359 | 2117.955 | 0.977361 | 0.001 | 0.189717 | 0.980392 | |
2944 | 0.97281 | 9.00E-04 | 0.24015 | 0.974359 | 2209.317 | 0.976829 | 9.00E-04 | 0.1963 | 0.980908 | |
2944 | 0.97284 | 8.00E-04 | 0.237183 | 0.974893 | 2285.407 | 0.97601 | 8.00E-04 | 0.200517 | 0.980908 | |
2963.819 | 0.972899 | 7.00E-04 | 0.238867 | 0.974893 | 2399.417 | 0.974309 | 7.00E-04 | 0.207583 | 0.980908 | |
2950.683 | 0.972853 | 6.00E-04 | 0.239367 | 0.974893 | 2474.271 | 0.972774 | 6.00E-04 | 0.21095 | 0.980392 | |
3064.844 | 0.97219 | 5.00E-04 | 0.245217 | 0.974893 | 2559.719 | 0.972663 | 5.00E-04 | 0.2164 | 0.976264 | |
3313.186 | 0.970698 | 4.00E-04 | 0.263183 | 0.974359 | 2884.945 | 0.97281 | 4.00E-04 | 0.235783 | 0.978844 | |
4489.688 | 0.970995 | 3.00E-04 | 0.335467 | 0.983974 | 3903.482 | 0.972937 | 3.00E-04 | 0.300067 | 0.978844 | |
10070.31 | 0.975301 | 2.00E-04 | 0.68315 | 0.986645 | 5471.648 | 0.974478 | 2.00E-04 | 0.402083 | 0.978844 | |
18300.75 | 0.985024 | 1.00E-04 | 1.194817 | 0.987179 | 11467.41 | 0.978429 | 1.00E-04 | 0.768733 | 0.98452 | |
18760.43 | 0.984581 | 9.00E-05 | 1.22635 | 0.987179 | 14578.9 | 0.978826 | 9.00E-05 | 0.9608 | 0.985036 | |
18960.83 | 0.984366 | 8.00E-05 | 1.235833 | 0.987179 | 18135.92 | 0.979503 | 8.00E-05 | 1.213633 | 0.985552 | |
19897.09 | 0.984326 | 7.00E-05 | 1.293483 | 0.988248 | 20685.69 | 0.980426 | 7.00E-05 | 1.33825 | 0.986068 | |
20744.52 | 0.984509 | 6.00E-05 | 1.3515 | 0.987714 | 23503.52 | 0.980872 | 6.00E-05 | 1.557783 | 0.986584 | |
22494.59 | 0.984723 | 5.00E-05 | 1.45665 | 0.987714 | 26049.64 | 0.981582 | 5.00E-05 | 1.69695 | 0.986584 | |
25776.8 | 0.985545 | 4.00E-05 | 1.6611 | 0.988782 | 28677.2 | 0.982578 | 4.00E-05 | 1.8414 | 0.986584 | |
28870.21 | 0.985593 | 3.00E-05 | 1.856183 | 0.988782 | 32251.8 | 0.983965 | 3.00E-05 | 2.036517 | 0.986068 | |
36250.91 | 0.985993 | 2.00E-05 | 2.317567 | 0.989316 | 36272.02 | 0.984585 | 2.00E-05 | 2.52395 | 0.988132 | |
50208.46 | 0.985271 | 1.00E-05 | 3.185233 | 0.990919 | 44806.67 | 0.98543 | 1.00E-05 | 3.107433 | 0.988132 |
正常 | 07 | 无核 | 正常 | 08 | 无核 | |||||
迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | 迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | |
9.934673 | 0.534671 | 0.5 | 0.061217 | 0.964646 | 9.075377 | 0.529462 | 0.5 | 0.061233 | 0.914023 | |
174.3769 | 0.938351 | 0.4 | 0.068967 | 0.987879 | 212.4221 | 0.890779 | 0.4 | 0.069617 | 0.964176 | |
220.8593 | 0.973786 | 0.3 | 0.071567 | 0.983333 | 268.4673 | 0.948591 | 0.3 | 0.07385 | 0.966223 | |
262.5879 | 0.981237 | 0.2 | 0.073717 | 0.987374 | 330.9347 | 0.95752 | 0.2 | 0.0773 | 0.971853 | |
358.5628 | 0.985384 | 0.1 | 0.079667 | 0.987879 | 417.7337 | 0.96917 | 0.1 | 0.082533 | 0.980553 | |
644.9246 | 0.986671 | 0.01 | 0.096667 | 0.988889 | 695.7337 | 0.93887 | 0.01 | 0.098717 | 0.975435 | |
1388.201 | 0.983635 | 0.001 | 0.1463 | 0.991919 | 1758.704 | 0.971904 | 0.001 | 0.166883 | 0.985159 | |
1420.211 | 0.982838 | 9.00E-04 | 0.1425 | 0.991919 | 1781.095 | 0.972081 | 9.00E-04 | 0.1637 | 0.98567 | |
1451.477 | 0.983562 | 8.00E-04 | 0.1449 | 0.991919 | 1801.231 | 0.972251 | 8.00E-04 | 0.166383 | 0.986182 | |
1568.668 | 0.987455 | 7.00E-04 | 0.157033 | 0.992424 | 1894.121 | 0.974885 | 7.00E-04 | 0.171633 | 0.988229 | |
1733.327 | 0.990516 | 6.00E-04 | 0.161817 | 0.991919 | 2070.497 | 0.978534 | 6.00E-04 | 0.1826 | 0.990788 | |
1876.704 | 0.99146 | 5.00E-04 | 0.17385 | 0.991919 | 2299.965 | 0.981553 | 5.00E-04 | 0.197417 | 0.990788 | |
1972.804 | 0.991013 | 4.00E-04 | 0.179417 | 0.991919 | 2553.03 | 0.982669 | 4.00E-04 | 0.213683 | 0.9913 | |
2032.754 | 0.990973 | 3.00E-04 | 0.180417 | 0.992424 | 2841.08 | 0.980962 | 3.00E-04 | 0.228767 | 0.9913 | |
2321.186 | 0.99147 | 2.00E-04 | 0.199217 | 0.992424 | 3064.146 | 0.979313 | 2.00E-04 | 0.24365 | 0.981064 | |
3413.477 | 0.98996 | 1.00E-04 | 0.263217 | 0.992424 | 3758.658 | 0.977966 | 1.00E-04 | 0.286083 | 0.985159 | |
3712.613 | 0.990231 | 9.00E-05 | 0.282417 | 0.992929 | 3942.387 | 0.976731 | 9.00E-05 | 0.298 | 0.985159 | |
3966.492 | 0.990325 | 8.00E-05 | 0.298067 | 0.992424 | 4181.824 | 0.976952 | 8.00E-05 | 0.311933 | 0.98567 | |
4163.055 | 0.99029 | 7.00E-05 | 0.3118 | 0.992424 | 4468.92 | 0.976369 | 7.00E-05 | 0.328867 | 0.98567 | |
4198.864 | 0.990138 | 6.00E-05 | 0.313183 | 0.991414 | 5123.693 | 0.977737 | 6.00E-05 | 0.373883 | 0.98567 | |
4251.136 | 0.989828 | 5.00E-05 | 0.314183 | 0.991414 | 6083.332 | 0.975787 | 5.00E-05 | 0.426967 | 0.98567 | |
4384.543 | 0.989577 | 4.00E-05 | 0.3258 | 0.991919 | 7145.613 | 0.969116 | 4.00E-05 | 0.490733 | 0.986694 | |
4661.377 | 0.989582 | 3.00E-05 | 0.344617 | 0.992424 | 9593.352 | 0.956525 | 3.00E-05 | 0.644333 | 0.986182 | |
5864.201 | 0.991328 | 2.00E-05 | 0.41705 | 0.993434 | 11486.03 | 0.956592 | 2.00E-05 | 0.74435 | 0.988229 | |
8022.01 | 0.989924 | 1.00E-05 | 0.546867 | 0.993434 | 23072.07 | 0.980779 | 1.00E-05 | 1.4413 | 0.989765 | |
重叠 | 07 | 无核 | 重叠 | 08 | 无核 | |||||
迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | 迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | |
10.34673 | 0.533394 | 0.5 | 0.066517 | 0.902525 | 9.301508 | 0.515052 | 0.5 | 0.065967 | 0.818321 | |
297.9698 | 0.883194 | 0.4 | 0.083017 | 0.976263 | 392.7437 | 0.893197 | 0.4 | 0.0858 | 0.973388 | |
401.9196 | 0.946495 | 0.3 | 0.09155 | 0.974747 | 509.0101 | 0.963978 | 0.3 | 0.090883 | 0.983112 | |
459.4472 | 0.937696 | 0.2 | 0.093333 | 0.979293 | 582.1307 | 0.979352 | 0.2 | 0.096383 | 0.984135 | |
586.2613 | 0.975303 | 0.1 | 0.10175 | 0.985859 | 662.402 | 0.975229 | 0.1 | 0.1014 | 0.9826 | |
943.1156 | 0.982838 | 0.01 | 0.125183 | 0.985354 | 995.5779 | 0.976682 | 0.01 | 0.1281 | 0.981576 | |
1721.261 | 0.967776 | 0.001 | 0.184833 | 0.987879 | 2183.266 | 0.966647 | 0.001 | 0.20225 | 0.9826 | |
1788.583 | 0.971116 | 9.00E-04 | 0.182667 | 0.986364 | 2202.884 | 0.966581 | 9.00E-04 | 0.20605 | 0.9826 | |
1873.618 | 0.977504 | 8.00E-04 | 0.18845 | 0.985859 | 2192.136 | 0.966442 | 8.00E-04 | 0.202317 | 0.983623 | |
1970.236 | 0.982191 | 7.00E-04 | 0.195633 | 0.986364 | 2298.045 | 0.968219 | 7.00E-04 | 0.210883 | 0.983623 | |
2011.729 | 0.984105 | 6.00E-04 | 0.197533 | 0.989394 | 2617.784 | 0.972537 | 6.00E-04 | 0.232883 | 0.986694 | |
2036.095 | 0.984846 | 5.00E-04 | 0.2013 | 0.989394 | 3198.065 | 0.978652 | 5.00E-04 | 0.2693 | 0.986182 | |
2074.201 | 0.985732 | 4.00E-04 | 0.203 | 0.989394 | 4470.07 | 0.982574 | 4.00E-04 | 0.365333 | 0.989765 | |
2189.94 | 0.988364 | 3.00E-04 | 0.211 | 0.990404 | 6871.824 | 0.985346 | 3.00E-04 | 0.5771 | 0.989765 | |
2742.543 | 0.989305 | 2.00E-04 | 0.253033 | 0.990404 | 12043.54 | 0.986313 | 2.00E-04 | 0.962317 | 0.989765 | |
4219.487 | 0.989216 | 1.00E-04 | 0.3298 | 0.990404 | 15740.55 | 0.989011 | 1.00E-04 | 1.1409 | 0.992835 | |
4442.905 | 0.988666 | 9.00E-05 | 0.343867 | 0.990404 | 16066.14 | 0.989492 | 9.00E-05 | 1.163167 | 0.992323 | |
4679.628 | 0.988252 | 8.00E-05 | 0.358283 | 0.990404 | 17083.9 | 0.989456 | 8.00E-05 | 1.2021 | 0.9913 | |
5149.196 | 0.987224 | 7.00E-05 | 0.3836 | 0.989899 | 18034.4 | 0.989934 | 7.00E-05 | 1.258217 | 0.991812 | |
5628.241 | 0.986331 | 6.00E-05 | 0.417467 | 0.989899 | 19701.26 | 0.990392 | 6.00E-05 | 1.348833 | 0.992835 | |
5871.035 | 0.985848 | 5.00E-05 | 0.445733 | 0.993434 | 21148.4 | 0.990163 | 5.00E-05 | 1.428267 | 0.992835 | |
6272.633 | 0.98598 | 4.00E-05 | 0.483917 | 0.994444 | 22817.89 | 0.989885 | 4.00E-05 | 1.535283 | 0.991812 | |
8910.432 | 0.986851 | 3.00E-05 | 0.661333 | 0.994444 | 25249.14 | 0.989698 | 3.00E-05 | 1.653283 | 0.991812 | |
21818.84 | 0.991216 | 2.00E-05 | 1.5182 | 0.994949 | 31225.81 | 0.989711 | 2.00E-05 | 2.007817 | 0.992323 | |
37734.63 | 0.993739 | 1.00E-05 | 2.546983 | 0.99596 | 47133.26 | 0.99048 | 1.00E-05 | 2.89545 | 0.992835 |
正常 | 09 | 无核 | 正常 | 012 | 无核 | |||||
迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | 迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | |
8.59799 | 0.5312 | 0.5 | 0.06205 | 0.92358 | 143.0804 | 0.474752 | 0.5 | 0.109017 | 0.831586 | |
177.6533 | 0.905556 | 0.4 | 0.069867 | 0.970337 | 492.4372 | 0.768878 | 0.4 | 0.12575 | 0.848745 | |
235.196 | 0.959102 | 0.3 | 0.073133 | 0.968829 | 592.0603 | 0.807011 | 0.3 | 0.132233 | 0.884652 | |
286.4372 | 0.967424 | 0.2 | 0.076117 | 0.971845 | 915.3065 | 0.913217 | 0.2 | 0.152633 | 0.936765 | |
374.5126 | 0.969346 | 0.1 | 0.082833 | 0.972851 | 1148.432 | 0.926313 | 0.1 | 0.16685 | 0.947569 | |
702.0854 | 0.979301 | 0.01 | 0.105967 | 0.984414 | 2368.462 | 0.963258 | 0.01 | 0.245533 | 0.969495 | |
1824.538 | 0.983482 | 0.001 | 0.181567 | 0.988436 | 7079.497 | 0.973415 | 0.001 | 0.532883 | 0.97871 | |
1923.593 | 0.985733 | 9.00E-04 | 0.175083 | 0.988939 | 7342.136 | 0.971767 | 9.00E-04 | 0.547817 | 0.979981 | |
1983.005 | 0.987143 | 8.00E-04 | 0.177783 | 0.988939 | 7735.859 | 0.971111 | 8.00E-04 | 0.57255 | 0.981252 | |
2011.397 | 0.98733 | 7.00E-04 | 0.180833 | 0.989442 | 8218.824 | 0.973777 | 7.00E-04 | 0.600783 | 0.980934 | |
2064.101 | 0.987158 | 6.00E-04 | 0.1831 | 0.989442 | 9161.719 | 0.97649 | 6.00E-04 | 0.6589 | 0.981252 | |
2142.317 | 0.986539 | 5.00E-04 | 0.188467 | 0.989945 | 10863.08 | 0.977514 | 5.00E-04 | 0.767467 | 0.982841 | |
2299.291 | 0.984627 | 4.00E-04 | 0.198083 | 0.989442 | 12474.05 | 0.980008 | 4.00E-04 | 0.866183 | 0.982841 | |
2657.523 | 0.982565 | 3.00E-04 | 0.221633 | 0.989442 | 13457.31 | 0.980973 | 3.00E-04 | 0.940017 | 0.98443 | |
3488.905 | 0.986729 | 2.00E-04 | 0.277183 | 0.989442 | 17356.45 | 0.981999 | 2.00E-04 | 1.156483 | 0.984112 | |
4566.955 | 0.982077 | 1.00E-04 | 0.338317 | 0.988939 | 27869.65 | 0.982799 | 1.00E-04 | 1.859983 | 0.986018 | |
4747.884 | 0.98284 | 9.00E-05 | 0.3475 | 0.988939 | 29662.53 | 0.983055 | 9.00E-05 | 1.950983 | 0.986336 | |
5123.704 | 0.984899 | 8.00E-05 | 0.373883 | 0.988939 | 31924.66 | 0.983594 | 8.00E-05 | 2.0826 | 0.986654 | |
5633.075 | 0.987115 | 7.00E-05 | 0.4039 | 0.988939 | 35684.52 | 0.984061 | 7.00E-05 | 2.332867 | 0.986972 | |
5960.563 | 0.987433 | 6.00E-05 | 0.417633 | 0.988939 | 39541.35 | 0.984366 | 6.00E-05 | 2.55965 | 0.987607 | |
6387.477 | 0.986713 | 5.00E-05 | 0.443917 | 0.988939 | 44577.43 | 0.984805 | 5.00E-05 | 2.8795 | 0.987289 | |
6903.236 | 0.986062 | 4.00E-05 | 0.47415 | 0.988939 | 51671.21 | 0.985383 | 4.00E-05 | 3.336733 | 0.987925 | |
7474.347 | 0.985377 | 3.00E-05 | 0.50815 | 0.988436 | 59172.44 | 0.985943 | 3.00E-05 | 3.779117 | 0.988878 | |
8212.025 | 0.984429 | 2.00E-05 | 0.551583 | 0.986425 | 75528.11 | 0.986898 | 2.00E-05 | 4.76705 | 0.989514 | |
12200.83 | 0.981115 | 1.00E-05 | 0.792583 | 0.987431 | 105716.9 | 0.988208 | 1.00E-05 | 6.640533 | 0.990149 | |
重叠 | 09 | 无核 | 重叠 | 012 | 无核 | |||||
迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | 迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max | |
10.51759 | 0.528121 | 0.5 | 0.062683 | 0.888386 | 374.0201 | 0.502212 | 0.5 | 0.124033 | 0.843343 | |
307.2864 | 0.861093 | 0.4 | 0.0773 | 0.967823 | 1011.196 | 0.762807 | 0.4 | 0.154417 | 0.837941 | |
402.9397 | 0.936576 | 0.3 | 0.083083 | 0.968326 | 1189.06 | 0.782799 | 0.3 | 0.166367 | 0.87639 | |
483.7789 | 0.964387 | 0.2 | 0.0885 | 0.973353 | 1549.889 | 0.834703 | 0.2 | 0.185117 | 0.877026 | |
599.3417 | 0.973753 | 0.1 | 0.095167 | 0.976873 | 2424.653 | 0.908471 | 0.1 | 0.236567 | 0.934859 | |
1027.156 | 0.978656 | 0.01 | 0.124017 | 0.983912 | 6424.362 | 0.943425 | 0.01 | 0.467867 | 0.959644 | |
2130.734 | 0.981926 | 0.001 | 0.18805 | 0.985923 | 30153.91 | 0.969452 | 0.001 | 1.846983 | 0.978392 | |
2202.412 | 0.980152 | 9.00E-04 | 0.192633 | 0.985923 | 30740.28 | 0.968537 | 9.00E-04 | 1.885367 | 0.979028 | |
2283.065 | 0.977613 | 8.00E-04 | 0.194017 | 0.985923 | 33054.72 | 0.968297 | 8.00E-04 | 2.050567 | 0.978392 | |
2339.497 | 0.97562 | 7.00E-04 | 0.201867 | 0.984917 | 34977.72 | 0.968898 | 7.00E-04 | 2.15735 | 0.977439 | |
2357.166 | 0.97515 | 6.00E-04 | 0.20465 | 0.9819 | 40055.82 | 0.971472 | 6.00E-04 | 2.45425 | 0.978392 | |
2363.709 | 0.975246 | 5.00E-04 | 0.2042 | 0.9819 | 44602.76 | 0.972672 | 5.00E-04 | 2.732417 | 0.978392 | |
2460.452 | 0.976211 | 4.00E-04 | 0.2098 | 0.982403 | 51495.46 | 0.972952 | 4.00E-04 | 3.1383 | 0.978392 | |
2927.035 | 0.979902 | 3.00E-04 | 0.23475 | 0.9819 | 64812.85 | 0.974231 | 3.00E-04 | 4.053317 | 0.980299 | |
3496.05 | 0.980362 | 2.00E-04 | 0.273617 | 0.9819 | 90092.04 | 0.976791 | 2.00E-04 | 5.641317 | 0.982205 | |
3851.709 | 0.976016 | 1.00E-04 | 0.293733 | 0.981398 | 151003.7 | 0.979548 | 1.00E-04 | 9.345617 | 0.984112 | |
3904.945 | 0.975903 | 9.00E-05 | 0.29505 | 0.9819 | 154713 | 0.979829 | 9.00E-05 | 9.618083 | 0.984747 | |
4339.859 | 0.976021 | 8.00E-05 | 0.3248 | 0.980895 | 167554.5 | 0.980222 | 8.00E-05 | 10.25902 | 0.985065 | |
5864.171 | 0.976774 | 7.00E-05 | 0.41625 | 0.981398 | 181154.7 | 0.980153 | 7.00E-05 | 10.51042 | 0.984112 | |
8626.462 | 0.977979 | 6.00E-05 | 0.586567 | 0.981398 | 196250.7 | 0.980492 | 6.00E-05 | 11.26847 | 0.985065 | |
11674.61 | 0.979316 | 5.00E-05 | 0.7653 | 0.982403 | 228451.7 | 0.98087 | 5.00E-05 | 13.62085 | 0.98443 | |
13097.46 | 0.979864 | 4.00E-05 | 0.85945 | 0.981398 | 260914.6 | 0.980974 | 4.00E-05 | 15.60588 | 0.985383 | |
15809.87 | 0.980152 | 3.00E-05 | 1.019833 | 0.9819 | 304038.9 | 0.981448 | 3.00E-05 | 18.24828 | 0.985383 | |
21283.45 | 0.980064 | 2.00E-05 | 1.3524 | 0.982906 | 391467.8 | 0.981621 | 2.00E-05 | 24.75012 | 0.986336 | |
26430.05 | 0.980175 | 1.00E-05 | 1.663517 | 0.983409 | 563334.6 | 0.9811 | 1.00E-05 | 33.42447 | 0.986336 |
正常 | 013 | 无核 | ||
迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max |
182.0151 | 0.514505 | 0.5 | 0.10805 | 0.88672 |
498.8693 | 0.797229 | 0.4 | 0.125367 | 0.888 |
587.3668 | 0.851805 | 0.3 | 0.129833 | 0.9104 |
838.3467 | 0.935685 | 0.2 | 0.1466 | 0.95872 |
1157.206 | 0.956699 | 0.1 | 0.165017 | 0.968 |
2262.548 | 0.968476 | 0.01 | 0.231783 | 0.97152 |
5821.432 | 0.979145 | 0.001 | 0.4492 | 0.98176 |
6093.719 | 0.979549 | 9.00E-04 | 0.46375 | 0.98432 |
6433.141 | 0.979592 | 8.00E-04 | 0.487483 | 0.984 |
7295.126 | 0.979412 | 7.00E-04 | 0.538017 | 0.98432 |
9262.221 | 0.979797 | 6.00E-04 | 0.656033 | 0.9856 |
11339.58 | 0.978706 | 5.00E-04 | 0.778433 | 0.98496 |
11943.81 | 0.97705 | 4.00E-04 | 0.818167 | 0.984 |
14694.03 | 0.979666 | 3.00E-04 | 0.98225 | 0.98496 |
17592.66 | 0.981914 | 2.00E-04 | 1.15855 | 0.98464 |
25758.62 | 0.980649 | 1.00E-04 | 1.659633 | 0.98592 |
26923.39 | 0.980814 | 9.00E-05 | 1.722633 | 0.98656 |
30040.58 | 0.981213 | 8.00E-05 | 1.915633 | 0.98656 |
33474.66 | 0.982304 | 7.00E-05 | 2.119333 | 0.98688 |
38849.34 | 0.98299 | 6.00E-05 | 2.479933 | 0.98784 |
49878.19 | 0.98381 | 5.00E-05 | 3.117667 | 0.99072 |
59549.78 | 0.98514 | 4.00E-05 | 3.707583 | 0.98944 |
77231.55 | 0.987306 | 3.00E-05 | 4.76895 | 0.99168 |
96534.81 | 0.98943 | 2.00E-05 | 6.0017 | 0.992 |
120712.4 | 0.99123 | 1.00E-05 | 7.573317 | 0.9936 |
重叠 | 013 | 无核 | ||
迭代次数n | 平均准确率p-ave | δ | 耗时 min/199 | 最大值p-max |
404.9799 | 0.50515 | 0.5 | 0.12655 | 0.78368 |
991.0603 | 0.725015 | 0.4 | 0.15885 | 0.84096 |
1238.271 | 0.771067 | 0.3 | 0.171683 | 0.85344 |
1825.693 | 0.878693 | 0.2 | 0.198617 | 0.92192 |
2581.794 | 0.942027 | 0.1 | 0.239783 | 0.96416 |
5755.588 | 0.968143 | 0.01 | 0.424167 | 0.9728 |
30075.48 | 0.978356 | 0.001 | 1.853917 | 0.98368 |
31605.11 | 0.9796 | 9.00E-04 | 1.918483 | 0.98368 |
33099.97 | 0.980427 | 8.00E-04 | 2.013283 | 0.98368 |
34928.8 | 0.980191 | 7.00E-04 | 2.112617 | 0.98368 |
36477.69 | 0.979034 | 6.00E-04 | 2.190933 | 0.98368 |
38330.22 | 0.977396 | 5.00E-04 | 2.289883 | 0.98304 |
41765.76 | 0.977319 | 4.00E-04 | 2.494833 | 0.98432 |
48434.08 | 0.979276 | 3.00E-04 | 2.8846 | 0.98432 |
59792.44 | 0.978465 | 2.00E-04 | 3.501383 | 0.98464 |
106674.1 | 0.97967 | 1.00E-04 | 6.115683 | 0.98784 |
127594.4 | 0.981377 | 9.00E-05 | 7.3852 | 0.9904 |
142719.9 | 0.981286 | 8.00E-05 | 8.214883 | 0.98976 |
167289.7 | 0.981902 | 7.00E-05 | 9.658817 | 0.98944 |
186063 | 0.982796 | 6.00E-05 | 10.58245 | 0.98912 |
222370.8 | 0.983169 | 5.00E-05 | 12.74997 | 0.98976 |
262578.8 | 0.983701 | 4.00E-05 | 15.24528 | 0.99168 |
337028.5 | 0.984994 | 3.00E-05 | 19.39107 | 0.9904 |
427944.8 | 0.985249 | 2.00E-05 | 24.07158 | 0.99008 |
688638.7 | 0.984708 | 1.00E-05 | 38.47677 | 0.99168 |
标签:1.00,重叠,04,05,携带,分类,8.00,4.00,5.00 来源: https://blog.csdn.net/georgesale/article/details/104482525