摘要
In order to solve problems in wavelet network backward propagation, such as low-precision, slow learning process and easy convergence to the local minimum points, ant colony algorithm was modified. A wavelet network learning algorithm, which is based on modified auto-adapted ant colony algorithm, was put forward. Its application example of custom-made product cost estimation was given at last, which shows learning process and accuracy of the algorithm is better than others, and wavelet network training based on this algorithm has greater generality and better learning capacities.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006 |
| 页 | 2437-2442 |
| 页数 | 6 |
| DOI | |
| 出版状态 | 已出版 - 2006 |
| 已对外发布 | 是 |
| 活动 | 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006 - Luoyang, 中国 期限: 25 6月 2006 → 28 6月 2006 |
出版系列
| 姓名 | 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006 |
|---|---|
| 卷 | 2006 |
会议
| 会议 | 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Luoyang |
| 时期 | 25/06/06 → 28/06/06 |
指纹
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Shan, M. Y., & Li, G. (2006). Auto-adapted ant colony optimization algorithm for wavelet network and its applications. 在 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006 (页码 2437-2442). 文章 4026482 (2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006; 卷 2006). https://doi.org/10.1109/ICMA.2006.257733