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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...
Autores principales: | Jia, Weikuan, Zhao, Dean, Shen, Tian, Su, Chunyang, Hu, Chanli, Zhao, Yuyan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
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 |
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