Multi-objective optimization of radial basis function neural network training using genetic algorithm

Radial basis function neural network (RBFNN) is an artificial feedforward neural network that uses radial basis functions as activation functions in the hidden layer. The output of the RBFNN is a linear combination of the outputs of the hidden layer. This paper presents a multi-objective model of ra...

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Bibliographische Detailangaben

Hauptverfasser:	Taoufyq, Elansari, Mohammed, Ouanan, Hamid, Bourray
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Genetic algorithms Multiple objective analysis Neural networks Radial basis function Training
Online-Zugang:	Volltext
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