Classification of underwater acoustical dataset using neural network trained by Chimp Optimization Algorithm

Due to the variability of the radiated signal of the underwater targets, the classification of the underwater acoustical dataset is a challenging problem in the real world application. In this paper, to classify underwater acoustical targets, first, a new meta-heuristic Chimp Optimization Algorithm...

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Veröffentlicht in:	Applied acoustics Jg. 157; S. 107005
Hauptverfasser:	Khishe, M., Mosavi, M.R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2020
Schlagworte:	Chimp Optimization Algorithm Classification Multi-Layer Perceptron Neural Networks Underwater acoustical dataset Multi-Layer Perceptron Neural Networks Underwater acoustical dataset Classification Chimp Optimization Algorithm
ISSN:	0003-682X, 1872-910X
Online-Zugang:	Volltext
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