import numpy as np
import math
def g():
g1=0
for i in range(number):
g1=g1+(y[i]-e[6][i])*(y[i]-e[6][i])
return g1
def f(ax):
for n in range(number_eq):
for i in range(number):
f1=ax[n][0]
for j in range(number_var):
n1=link[n][j+1]
f1=f1+ax[n][j+1]*e[n1][i]
n1=link[n][0]
e[n1][i]=1/(1+math.exp(-f1))
number=100
number_eq=5
number_var=2
x=[]
for i in range(100):
r1=np.random.random()
r2=np.random.random()
x.append([r1,r2])
y=[]
for i in range(100):
r3=0
h=0
if 3*x[i][0]+2*x[i][1]>2.5:h=h+1
if h==1:r3=1
y.append(r3)
link=[[2,0,1],[3,0,1],[4,2,3],[5,2,3],[6,4,5]]
e=np.zeros([7,number])
a=np.zeros([number_eq,number_var+1])
for eq1 in range(5):
for u in range(3):
a[eq1][u]=np.random.random()
for i in range(number):
e[0][i]=x[i][0]
e[1][i]=x[i][1]
ax=np.zeros([number_eq,number_var+1])
df=np.zeros([number_var+1])
eq1=0
f(a)
g1=g()
print(g1)
h=0.01
for sx in range(number_var+1):
for i in range(number_eq):
for j in range(number_var+1):
ax[i][j]=a[i][j]
ax[eq1][sx]=ax[eq1][sx]+h
f(ax)
g2=g()
df[sx]=(g2-g1)/h
sig=0
for m in range(number_var+1):
sig=sig+df[m]*df[m]
print(sig)
for eq2 in range(number_eq):
for m in range(number_var+1):
ax[eq2][m]=a[eq2][m]
if eq2==eq1:ax[eq2][m]=a[eq2][m]-0.01*g1*df[m]/sig
f(ax)
g2=g()
print(g2)
最終更新:2018年03月03日 13:00