学习感知器

import numpy as np

def func(x1, x2, y):
    global w0, w1, w2, n0, n1, n2
    a = 0.01
    w0, w1, w2 = 1, 1, 1
    n0, n1, n2 = 1, 1, 1
    for i in range(200):
        w0 = w0 - a * (mysum(x1[i % 4], x2[i % 4]) - y[i % 4])
        w1 = w1 - a * (mysum(x1[i % 4], x2[i % 4]) - y[i % 4]) * x1[i % 4]
        w2 = w2 - a * (mysum(x1[i % 4], x2[i % 4]) - y[i % 4]) * x2[i % 4]
        n0 = (mysum(x1[i % 4], x2[i % 4]) - y[i % 4])
        n1 = (mysum(x1[i % 4], x2[i % 4]) - y[i % 4]) * x1[i % 4]
        n2 = (mysum(x1[i % 4], x2[i % 4]) - y[i % 4]) * x2[i % 4]
        if (abs(n0) < 0.01 and abs(n1) < 0.01 and abs(n2) < 0.01):
            print(w0, w1, w2)
            print(n0, n1, n2)
            break

def mysum(x1, x2):
    return w0 + w1 * x1 + w2 * x2

if __name__ == '__main__':
    x1 = np.array([0, 0, 1, 1])
    x2 = np.array([0, 1, 0, 1])
    y = np.array([0, 0, 0, 1])
    func(x1, x2, y)