感知机--异或门的实现

异或门：
x1 x2 y
0 0 0
0 1 1
1 0 1
1 1 0

import numpy as np
def AND(x1, x2):
    x = np.array([x1, x2])
    w = np.array([0.5, 0.5])
    b = -0.7
    tmp = np.sum(w*x) + b
    if tmp <= 0:
       return 0
    else:
       return 1

def NAND(x1, x2):
    x = np.array([x1, x2])
    w = np.array([-0.5, -0.5]) # 仅权重和偏置与AND不同！
    b = 0.7
    tmp = np.sum(w*x) + b
    if tmp <= 0:
        return 0
    else:
        return 1

def OR(x1, x2):
    x = np.array([x1, x2])
    w = np.array([0.5, 0.5]) # 仅权重和偏置与AND不同！
    b = -0.2
    tmp = np.sum(w*x) + b
    if tmp <= 0:
        return 0
    else:
        return 1
        

def XOR(x1, x2):
    s1 = NAND(x1, x2)
    s2 = OR(x1, x2)
    y = AND(s1, s2)
    return y

print(XOR(0, 0))
print(XOR(0, 1))
print(XOR(1, 0))
print(XOR(1, 1))