机器学习---感知器

代码

import numpy as np
import math
x = np.array([[0,0],[0,1],[1,0],[1,1]])
y = np.array([0,1,1,1])

alpha = 0.1
w0 = np.random.random()
w1 = np.random.random()
w2 = np.random.random()
w = np.array([w1,w2])

eps = 1e-4
e0 = 2
e1 = 2
e2 = 2
i = 0

while e0 >= eps or e1 >= eps or e2 >= eps:
    n = (w1 * x[i, 0] + w2 * x[i, 1])
    e0 = (1 / (1 + math.exp(-n))) * (x[i, 0]*w1+x[i, 1]*w2 + w0 * 1 - y[i]) * (1 / (1 + math.exp(-n))) * (1 - (1 / (1 + math.exp(-n))))
    e1 = e0 * x[i, 0]
    e2 = e0 * x[i, 1]
    w0 = w0 - alpha * e0
    w1 = w1 - alpha * e1
    w2 = w2 - alpha * e2
    if i < 3:
        i += 1
    else:
        i = 0

print(w0, w1, w2)
print(w0 + w1 + w2)

运行结果

0.8136436180777709 0.14998119771159535 0.8438319393200658
1.807456755109432