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...
| 出版年: | Archives of Acoustics |
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| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Institute of Fundamental Technological Research Polish Academy of Sciences
2020-11-01
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| 主題: | |
| オンライン･アクセス: | https://acoustics.ippt.pan.pl/index.php/aa/article/view/2490 |