Taking advantage of hybrid bioinspired intelligent algorithm with decoupled extended Kalman filter for optimizing growing and pruning radial basis function network

The growing and pruning radial basis function (GAP-RBF) network is a promising sequential learning algorithm for prediction analysis, but the parameter selection of such a network is usually a non-convex problem and makes it difficult to handle. In this paper, a hybrid bioinspired intelligent algori...

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Detalles Bibliográficos
Autores principales: Chai, Zhilei, Song, Wei, Bao, Qinxin, Ding, Feng, Liu, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2018
Materias:
Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6170552/
https://www.ncbi.nlm.nih.gov/pubmed/30839667
http://dx.doi.org/10.1098/rsos.180529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6170552/
https://www.ncbi.nlm.nih.gov/pubmed/30839667
http://dx.doi.org/10.1098/rsos.180529

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