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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2011
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4220/1/AJ%202017%20%28582%29.pdf |