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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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 450; S. 253 - 263
Hauptverfasser:	Han, Ziyang, Qian, Xusheng, Huang, He, Huang, Tingwen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 25.08.2021
Schlagworte:	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
Online-Zugang:	Volltext
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