Feed-Forward Neural Networks Training with Hybrid Taguchi Vortex Search Algorithm for Transmission Line Fault Classification

In this study, the hybrid Taguchi vortex search (HTVS) algorithm, which exhibits a rapid convergence rate and avoids local optima, is employed as a new training algorithm for feed-forward neural networks (FNNs) and its performance was analyzed by comparing it with the vortex search (VS) algorithm, t...

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Bibliografische gegevens

Hoofdauteurs:	Melih Coban, Suleyman Sungur Tezcan
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2022-09-01
Reeks:	Mathematics
Onderwerpen:	fault classification HTVS algorithm optimization training feed-forward neural networks
Online toegang:	https://www.mdpi.com/2227-7390/10/18/3263
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