A New Optimized GA-RBF Neural Network Algorithm

When confronting the complex problems, radial basis function (RBF) neural network has the advantages of adaptive and self-learning ability, but it is difficult to determine the number of hidden layer neurons, and the weights learning ability from hidden layer to the output layer is low; these defici...

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Detalles Bibliográficos
Autores principales: Jia, Weikuan, Zhao, Dean, Shen, Tian, Su, Chunyang, Hu, Chanli, Zhao, Yuyan
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/PMC4211311/
https://www.ncbi.nlm.nih.gov/pubmed/25371666
http://dx.doi.org/10.1155/2014/982045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4211311/
https://www.ncbi.nlm.nih.gov/pubmed/25371666
http://dx.doi.org/10.1155/2014/982045

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