Modified wavelet neural network in function approximation and its application in prediction of time-series pollution data
Properly designing a wavelet neural network (WNN) is crucial for achieving the optimal generalization performance. In this paper, in order to improve the predictive capability of WNNs, the types of activation functions used in the hidden layer of the WNN were varied. The modified WNNs were then appl...
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| 主要な著者: | , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier
2011
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| 主題: | |
| オンライン･アクセス: | http://eprints.uthm.edu.my/4220/1/AJ%202017%20%28582%29.pdf http://eprints.uthm.edu.my/4220/ https://dx.doi.org/10.1016/j.asoc.2011.06.013 |
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