Adaptive Novel Kernel for RBF Neural Networks (Pattern Classification Problem)
This submission is a part of a paper titled as "A Novel Adaptive Kernel for the RBF Neural Networks". In this simulation I implemented four different kernels of RBF for a pattern classification problem, namely (1) Cosine kernel, (2) Euclidean/Gaussian kernel, (3) Novel kernel (Manual fusion of Cosine and Euclidean and Gaussian, and A Novel Adaptive kernel for RBF [2].
[1] Wasim Aftab, Muhammad Moinuddin, and Muhammad Shafique Shaikh, “A Novel Kernel for RBF Based Neural Networks,” Abstract and Applied Analysis, vol. 2014, Article ID 176253, 10 pages, 2014. doi:10.1155/2014/176253
https://www.hindawi.com/journals/aaa/2014/176253/cta/
[2] Khan, S., Naseem, I., Togneri, R. et al. Circuits Syst Signal Process (2017) 36: 1639. doi:10.1007/s00034-016-0375-7
https://link.springer.com/article/10.1007/s00034-016-0375-7
Citar como
Shujaat Khan (2024). Adaptive Novel Kernel for RBF Neural Networks (Pattern Classification Problem) (https://www.mathworks.com/matlabcentral/fileexchange/63556-adaptive-novel-kernel-for-rbf-neural-networks-pattern-classification-problem), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
Etiquetas
Agradecimientos
Inspiración para: Function approximation using "A Novel Adaptive Kernel for the RBF Neural Networks"
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.
Pattern_Recognition_Simplified/
Versión | Publicado | Notas de la versión | |
---|---|---|---|
1.0.0.0 |