Function Approximation Using Neural Network Without using Toolbox

版本 1.0.0.0 (117.9 KB) 作者: Alireza

This code implements the basic backpropagation of error learning algorithm

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更新时间 2016/5/4

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This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2).
We didn't use any feature of neural network toolbox.

引用格式

Alireza (2026). Function Approximation Using Neural Network Without using Toolbox (https://ww2.mathworks.cn/matlabcentral/fileexchange/17355-function-approximation-using-neural-network-without-using-toolbox), MATLAB Central File Exchange. 检索时间: 2026/1/17.

MATLAB 版本兼容性

创建方式 R2007a

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类别

AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Define Shallow Neural Network Architectures >

在 Help Center 和 MATLAB Answers 中查找有关 Define Shallow Neural Network Architectures 的更多信息

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致谢

启发作品: Orthogonal Least Squares Algorithm for RBF Networks, Back Propogation Algorithm

mlp/

mlp.m

版本	已发布	发行说明
1.0.0.0	2016/5/4	BSD License	下载