南充市网站建设_网站建设公司_VPS_seo优化

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 = -0.7tmp = np.sum(w*x) + bif tmp <= 0:return 0else:return 1def 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 = 0.7tmp = np.sum(w*x) + bif tmp <= 0:return 0else:return 1def 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 = -0.2tmp = np.sum(w*x) + bif tmp <= 0:return 0else:return 1def XOR(x1, x2):s1 = NAND(x1, x2)s2 = OR(x1, x2)y = AND(s1, s2)return yprint(XOR(0, 0))
print(XOR(0, 1))
print(XOR(1, 0))
print(XOR(1, 1))