摘要
It is shown that the wavelet network structure with hidden layer decided by experience is not the optimization. In this paper we discuss the optimization to the structure of wavelet neural networks, for which the genetic algorithm is used to determine the number of elements in hidden layer while the gradient method of BP algorithm is used to compute weighting, stretching and displacing coefficients of the continuous wavelet neural networks. The effectiveness of the proposed scheme is demonstrated by examples.
| 源语言 | 英语 |
|---|---|
| 页（从-至） | 158-159 |
| 页数 | 2 |
| 期刊 | Xitong Fangzhen Xuebao / Journal of System Simulation |
| 卷 | 13 |
| 期 | SUPPL. |
| 出版状态 | 已出版 - 2001 |