Function Approximation Using Neural Network Without using Toolbox
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.
Cite As
Alireza (2024). Function Approximation Using Neural Network Without using Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/17355-function-approximation-using-neural-network-without-using-toolbox), MATLAB Central File Exchange. Retrieved .
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- AI and Statistics > Deep Learning Toolbox > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Define Shallow Neural Network Architectures >
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Acknowledgements
Inspired: Orthogonal Least Squares Algorithm for RBF Networks, Back Propogation Algorithm
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Version | Published | Release Notes | |
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1.0.0.0 | BSD License |