An Adaptive Learning Rate for RBFNN Using Time-Domain Feedback Analysis

Radial basis function neural networks are used in a variety of applications such as pattern recognition, nonlinear identification, control and time series prediction. In this paper, the learning algorithm of radial basis function neural networks is analyzed in a feedback structure. The robustness of...

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Detalles Bibliográficos
Autores principales: Ali, Syed Saad Azhar, Moinuddin, Muhammad, Raza, Kamran, Adil, Syed Hasan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3980919/
https://www.ncbi.nlm.nih.gov/pubmed/24987745
http://dx.doi.org/10.1155/2014/850189

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3980919/
https://www.ncbi.nlm.nih.gov/pubmed/24987745
http://dx.doi.org/10.1155/2014/850189

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