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首页 » AI-NN-PR » 本人编写的GramSchmidt神经网络算法,和传统的神经网络算法比较,该算法能自动产生神经元,节约时间,速度快! 本人还加了自动产生分类的方法和适合各种函

本人编写的GramSchmidt神经网络算法,和传统的神经网络算法比较,该算法能自动产生神经元,节约时间,速度快! 本人还加了自动产生分类的方法和适合各种函

于 2022-03-12 发布 文件大小:2.66 kB
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本人编写的GramSchmidt神经网络算法,和传统的神经网络算法比较,该算法能自动产生神经元,节约时间,速度快! 本人还加了自动产生分类的方法和适合各种函数的转换,该zip包括两个文件,一个是GramSchmidt正交分解,是个子函数,主函数是orth_GramSchmidt,放在同一目录下,就可运行,可以对benchmark的逼近和分类问题提供解决方案-I prepared GramSchmidt neural network algorithm, and the traditional neural network algorithm, the algorithm can automatically generate neurons, saving time, fast! I also added a method of automatically generated classification and conversion for a variety of functions, the zip includes two documents, one is GramSchmidt orthogonal decomposition is a sub-function, the main function is orth_GramSchmidt, on the same directory, you can run can benchmark approximation and classification problems to provide solutions

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