参考：https://www.cnblogs.com/xzh0001/p/5660632.html

1 import numpy as np 2  3 def creatDataSet( ): 4     group=np.array([[3,3],[4,3],[1,1]]) 5     label=[1,1,-1] 6     return group,label 7  8 def update( x , y ): 9     global w , b10     for i in range( len( x ) ):11         w[ i ] += y * x[ i ]12     b = b + y13     14 def cal( x , y ):15     global w , b16     result=017     for i in range( len( x ) ):18         result += w[ i ] *  x[ i ]19     result += b20     result *= y21     return result22 23 def perceptron_func( group , label ):24     global w , b25     isFind = False26     n=group.shape[0]27     x_col=group.shape[1]28     w = [0] * x_col29     b = 030     while isFind == False:31         for i in range( n ):32             if cal(group[ i ] , label[ i ]) <= 0:33                 update(group[ i ] , label[ i ])34                 print(i+1,w,b)35                 break36             elif i == n - 1:37                 print(i+1,w,b)38                 isFind = True39 40 g , l = creatDataSet( )41 print('x   w    b')42 perceptron_func(g,l)

 

 运行结果：

x   w    b

1 [3, 3] 1

3 [2, 2] 0

3 [1, 1] -1

3 [0, 0] -2

1 [3, 3] -1

3 [2, 2] -2

3 [1, 1] -3

3 [1, 1] -3