简单的逻辑电路

简单的与门、与非门、或门

import numpy as np
def AND(x1,x2):
    x = np.array([x1,x2])        #输入
    w = np.array([0.5,0.5])        #权重
    b = -0.7                    #偏置
    tmp = np.sum(w*x)+b
    if tmp <= 0:
        return 0
    else: return 1 print(AND(0,0)) print(AND(1,0)) print(AND(0,1)) print(AND(1,1)) print('--------------------') def NAND(x1,x2): x = np.array([x1,x2]) #输入 w = np.array([-0.5,-0.5]) #权重 b = 0.7 #偏置 tmp = np.sum(w*x)+b if tmp <= 0: return 0 else: return 1 print(NAND(0,0)) print(NAND(1,0)) print(NAND(0,1)) print(NAND(1,1)) print('--------------------') def OR(x1,x2): x = np.array([x1,x2]) #输入 w = np.array([-0.5,-0.5]) #权重 b = -0.2 #偏置 tmp = np.sum(w*x)+b if tmp <= 0: return 0 else: return 1 print(OR(0,0)) print(OR(1,0)) print(OR(0,1)) print(OR(1,1))