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...

Celý popis

Podrobná bibliografia

Vydané v:	Applied acoustics Ročník 157; s. 107005
Hlavní autori:	Khishe, M., Mosavi, M.R.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2020
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!