import numpy as np
import math
import sec
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=[[3,5,6],[4,5,6],[1,3,4],[2,3,4],[0,1,2]]
sub=sec.sec()
sub.number=number
sub.number_var=number_var
sub.number_eq=number_eq
sub.link=link
sub.x=x
sub.y=y
sub.makedata()
a=sub.a
print(a)
es=np.zeros([7,number])
for i in range(number):
es[5][i]=x[i][0]
es[6][i]=x[i][1]
for n in range(number_eq):
for i in range(number):
f1=a[n][0]
for j in range(number_var):
n1=link[n][j+1]
f1=f1+a[n][j+1]*es[n1][i]
n1=link[n][0]
f2=0
if f1>0:f2=1
es[n1][i]=f2
c=0
for i in range(number):
if y[i]==es[0][i]:c=c+1
print(c)
import numpy as np
import math
class sec:
def g(self):
g3=0
for i in range(self.number):
g3=g3+(self.y[i]-self.e[0][i])*(self.y[i]-self.e[0][i])
return g3
def f(self,ax):
for n in range(self.number_eq):
for i in range(self.number):
f1=ax[n][0]
for j in range(self.number_var):
n1=self.link[n][j+1]
f1=f1+ax[n][j+1]*self.e[n1][i]
n1=self.link[n][0]
self.e[n1][i]=1/(1+math.exp(-f1))
def makedata(self):
self.e=np.zeros([7,self.number])
self.a=np.zeros([self.number_eq,self.number_var+1])
df=np.zeros([self.number_eq,self.number_var+1])
ax=np.zeros([self.number_eq,self.number_var+1])
for eq1 in range(self.number_eq):
for u in range(self.number_var+1):
self.a[eq1][u]=np.random.random()
for i in range(self.number):
self.e[5][i]=self.x[i][0]
self.e[6][i]=self.x[i][1]
tr=0
while tr<500:
tr=tr+1
self.f(self.a)
g1=self.g()
for eqs in range(self.number_eq):
for mx in range(self.number_var+1):
for eq1 in range(self.number_eq):
for m in range(self.number_var+1):
ax[eq1][m]=self.a[eq1][m]
h=0.01
ax[eqs][mx]=ax[eqs][mx]+h
self.f(ax)
g2=self.g()
df[eqs][mx]=(g2-g1)/h
sig=0
for eq1 in range(self.number_eq):
for m in range(self.number_var+1):
sig=sig+df[eq1][m]*df[eq1][m]
for eq1 in range(self.number_eq):
for m in range(self.number_var+1):
ax[eq1][m]=self.a[eq1][m]-0.01*g1*df[eq1][m]/sig
self.f(ax)
g2=self.g()
最終更新:2018年03月06日 11:24