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.
Citar como
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. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- AI, Data Science, and Statistics > Deep Learning Toolbox > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Define Shallow Neural Network Architectures >
Etiquetas
Agradecimientos
Inspiración para: Orthogonal Least Squares Algorithm for RBF Networks, Back Propogation Algorithm
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.
mlp/
Versión | Publicado | Notas de la versión | |
---|---|---|---|
1.0.0.0 | BSD License |