Efficient design of multicolumn RBF networks

To make radial basis function (RBF) networks efficient for large-scale learning tasks, the parallel technique provides a promising way for the construction of multicolumn RBF network (MCRN), where the task to be tackled is decomposed into several subtasks and RBF networks designed for these subtasks...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 450; s. 253 - 263
Hlavní autori:	Han, Ziyang, Qian, Xusheng, Huang, He, Huang, Tingwen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 25.08.2021
Predmet:	Efficient learning Generalized hybrid constructive algorithm Minimum difference scheme Multicolumn RBF networks Parallel structure Potential centers Generalized hybrid constructive algorithm Efficient learning Multicolumn RBF networks Parallel structure Potential centers Minimum difference scheme
ISSN:	0925-2312, 1872-8286
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