Performance evaluation of Modified Genetic Algorithm over Genetic Algorithm implementation on fault diagnosis of Cascaded Multilevel Inverter

Fault diagnosis on Multilevel Inverter (MLI) has been a subject of research for about a decade. This paper is an attempt to deliver a performance analysis of Genetic Algorithm (GA) and the Modified Genetic Algorithm (MGA) working to optimize Artificial Neural Network (ANN) that trains itself on the...

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Veröffentlicht in:	2015 International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) S. 51 - 56
Hauptverfasser:	Manjunath, T. G., Kusagur, Ashok
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2015
Schlagworte:	Artificial Neural Network Artificial neural networks Cascaded multilevel Inverter Circuit faults Fault detection and reconfiguration Genetic Algorithm Genetic algorithms Modified Genetic Algorithm Optimization Parameter Optimisation Sociology Statistics Training
Online-Zugang:	Volltext
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