Optimization and stabilization of sequential learning in RBF network for nonlinear function approximation

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Optimization and stabilization of sequential learning in RBF network for nonlinear function approximation

This paper proposes a solution for inconsistency pruning of neurons within a sequential learning Radial Basis Function (RBF) Network. This paper adopts the concept that a specific RBF neuron which continuously exhibits low output in a sequence of training patterns does not justify the proposition th...

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Bibliographic Details
Main Authors:	Lim, W. S., Yeoh, J. W. L.
Format:	Article
Published:	IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG 2008
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://shdl.mmu.edu.my/1947/

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