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bp神经网络

import mathimport numpy as npimport pandas as pdfrom pandas import DataFramey =[0.14 ,0.64 ,0.28 ,0.33 ,0.12 ,0.03 ,0.02 ,0.11 ,0.08 ]x1 =[0.29 ,0.50 ,0.00 ,0.21 ,0.10 ,0.06 ,0.13 ,0.24 ,0.28 ]x2 =[0.23 ,0.62 ,0.53 ,0.53 ,0.33 ,0.15 ,0.03 ,0.23 ,0.03 ]the

BP神经网络。

import mathimport numpy as npimport pandas as pdfrom pandas import DataFrame y =[0.14 ,0.64 ,0.28 ,0.33 ,0.12 ,0.03 ,0.02 ,0.11 ,0.08 ]x1 =[0.29 ,0.50 ,0.00 ,0.21 ,0.10 ,0.06 ,0.13 ,0.24 ,0.28 ]x2 =[0.23 ,0.62 ,0.53 ,0.53 ,0.33 ,0.15 ,0.03 ,0.23 ,0.03 ]th

客家话

import mathimport numpy as npimport pandas as pdfrom pandas import DataFrame,Seriesdef sigmoid(x): #映射函数 return 1/(1+math.exp(-x))x1=[0.29,0.50,0.00,0.21,0.10,0.06,0.13,0.24,0.28]x2=[0.23,0.62,0.53,0.53,0.33,0.15,0.03,0.23,0.03]y=[0.14,0.64,0.28,0.33,0.12

BP神经网络

import mathimport numpy as npimport pandas as pdfrom pandas import DataFramey =[0.14 ,0.64 ,0.28 ,0.33 ,0.12 ,0.03 ,0.02 ,0.11 ,0.08 ]x1 =[0.29 ,0.50 ,0.00 ,0.21 ,0.10 ,0.06 ,0.13 ,0.24 ,0.28 ]x2 =[0.23 ,0.62 ,0.53 ,0.53 ,0.33 ,0.15 ,0.03 ,0.23 ,0.03 ]the

work

#@author: Mint import mathimport numpy as npimport pandas as pdfrom pandas import DataFramey =[0.14 ,0.64 ,0.28 ,0.33 ,0.12 ,0.03 ,0.02 ,0.11 ,0.08 ]x1 =[0.29 ,0.50 ,0.00 ,0.21 ,0.10 ,0.06 ,0.13 ,0.24 ,0.28 ]x2 =[0.23 ,0.62 ,0.53 ,0.53 ,0.33 ,0.15 ,0.03 ,

BP人工神经网络

import mathimport numpy as npimport pandas as pdfrom pandas import DataFramey = [0.14, 0.64, 0.28, 0.33, 0.12, 0.03, 0.02, 0.11, 0.08]x1 = [0.29, 0.50, 0.00, 0.21, 0.10, 0.06, 0.13, 0.24, 0.28]x2 = [0.23, 0.62, 0.53, 0.53, 0.33, 0.15, 0.03, 0.23, 0.03]the

bp神经网络

import mathimport numpy as npimport pandas as pdfrom pandas import DataFrame,Series def sigmoid(x): return 1/(1+math.exp(-x))y =[0.14 ,0.64 ,0.28 ,0.33 ,0.12 ,0.03 ,0.02 ,0.11 ,0.08 ]x1 =[0.29 ,0.50 ,0.00 ,0.21 ,0.10 ,0.06 ,0.13 ,0.24 ,0.28 ]x2 =[0.23 ,0.

神经网络

import mathimport numpy as npimport pandas as pdfrom pandas import DataFrame,Seriesdef sigmoid(x): return 1/(1+math.exp(-x))x1=[0.29,0.50,0.00,0.21,0.10,0.06,0.13,0.24,0.28]x2=[0.23,0.62,0.53,0.53,0.33,0.15,0.03,0.23,0.03]y=[0.14,0.64,0.28,0.33,0.12,0

人工智能 神经元

import mathimport numpy as npimport pandas as pdfrom pandas import DataFrame y =[0.14 ,0.64 ,0.28 ,0.33 ,0.12 ,0.03 ,0.02 ,0.11 ,0.08 ]x1 =[0.29 ,0.50 ,0.00 ,0.21 ,0.10 ,0.06 ,0.13 ,0.24 ,0.28 ]x2 =[0.23 ,0.62 ,0.53 ,0.53 ,0.33 ,0.15 ,0.03 ,0.23 ,0.03 ]th

BP神经网络-26

@author: Mint """ import math import numpy as np import pandas as pd from pandas import DataFrame y =[0.14 ,0.64 ,0.28 ,0.33 ,0.12 ,0.03 ,0.02 ,0.11 ,0.08 ] x1 =[0.29 ,0.50 ,0.00 ,0.21 ,0.10 ,0.06 ,0.13 ,0.24 ,0.28 ] x2 =[0.23 ,0.62 ,0.53