感知器算法

import numpy as np
import matplotlib.pyplot as plt

x = np.array([[0,0], [0,1], [1,0], [1,1]])
t = np.array([[0],[0],[0],[1]])
alpha = 0.1

omega1 = np.random.random()
omega2 = np.random.random()
omega=np.array([omega1 ,omega2])

e=float(2.72)
eps = 10e-4

for i in range(0,4):
    z = x[i,0]*omega1+x[i,1]*omega2
    e1 = (-x[i,0]*e**(-z)/(1+e**(-z)))*(2*1/(1+e**(-z))-t[i])
    e2 = (-x[i,1]*e**(-z)/(1+e**(-z)))*(2*1/(1+e**(-z))-t[i])

while e1 >=eps or e2>=eps:
    i=0
    omega1 = omega1 - alpha * e1
    omega2 = omega2 - alpha * e2
    i+=1

print(omega1,omega2)