Training RBF NN Using Sine-Cosine Algorithm for Sonar Target Classification

Radial basis function neural networks (RBF NNs) are one of the most useful tools in the classification of the sonar targets. Despite many abilities of RBF NNs, low accuracy in classification, entrapment in local minima, and slow convergence rate are disadvantages of these networks. In order to overc...

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Bibliografske podrobnosti

Principais autores:	Yixuan WANG, LiPing YUAN, Mohammad KHISHE, Alaveh MORIDI, Fallah MOHAMMADZADE
Format:	Artigo
Jezik:	Inglês
Izdano:	Institute of Fundamental Technological Research Polish Academy of Sciences 2020-11-01
Serija:	Archives of Acoustics
Teme:	classifiers radial basis function neural network sine-cosine algorithm sonar
Online dostop:	https://acoustics.ippt.pan.pl/index.php/aa/article/view/2490
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