An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Although the practicability of using wavelet neural networks (WNNs) in nonlinear function approximation has been addressed extensively, selecting the optimal number of hidden nodes and their appropriate initial locations remains a great challenge for WNNs’ initialization. The cuckoo search algorithm...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier
2023
|
| 主題: | |
| オンライン･アクセス: | http://eprints.uthm.edu.my/9148/1/J15860_28b01933e0ffce86e1f06e1f75cc22f8.pdf http://eprints.uthm.edu.my/9148/ https://doi.org/10.1016/j.dajour.2023.100188 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|