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利用RBF神经网络,解决异或问题DS

于 2018-12-05 发布 文件大小:2KB
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  1.利用RBF神经网络,解决异或问题: 1)异或问题本质上是一个二分类问题:输入为向量[x1,x2],输出是标量,取值限定为0或1.(1. Use RBF neural network to solve different or problems: 1) an xor problem is essentially a binary problem: the input is a vector [x1,x2], and the output is a scalar whose value is limited to 0 or 1.)

文件列表:

2.py, 436 , 2018-03-22
拟合2.py, 660 , 2018-12-05
曲线拟合.py, 1396 , 2018-12-05
实验1.1.1.py, 555 , 2018-03-24

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