3、单计算节点感知器，3个输入。给定3对训练样本对如下所示：

X1 = (1，-2，0，-1) ，d1 =-1；X2 = (0，1.5，-0.5，-1)，d2 = - 1；X3 = (-1，1，0.5，-1)，d3 =1；

设初始权向量W(0)=(0.5,1,-1,0.5)，2η=0.1。注意，x第四列为阈值恒等于-1，权向量中第后个分量为阈值，试根据以上学习规则训练该感知器。

-3, a single compute node sensor, three inputs. Given three pairs of training samples are as follows:

X1 = (1,-2,0,-1), d1 =-1　X2 = (0,1.5,-0.5,-1), d2 =- 1　X3 = (-1,1,0.5,-1 ), d3 = 1

Let the initial weight vector W (0) = (0.5,1,-1,0.5), 2η = 0.1. Note, x fourth as the threshold constant equal to-1, right after the first two components of the vector is the threshold, try to train the perceptron learning rule based on the above.