An Improved Wavelet Neural Network For Classification And Function Approximation
Properly designing a wavelet neural network (WNN) is crucial for achieving the optimal generalization performance. In this thesis, two different approaches were proposed for improving the predictive capability of WNNs. First, the types of activation functions used in the hidden layer of the WNN were...
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| フォーマット: | 学位論文 |
| 言語: | English |
| 出版事項: |
2011
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| 主題: | |
| オンライン･アクセス: | http://eprints.usm.my/42264/1/ONG_PAULINE.pdf http://eprints.usm.my/42264/ |
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