摘要
To improve the generalization performance of RBF networks, samples having been divided into training set and evaluating set, a novel training algorithm is proposed for adjusting the width of center point set based on the standard deviation of evaluating set error. Simulation results show this method is effective in improving the generalization performance of RBF networks. The performance of generalization of RBF network can be remarkably improved by using this training method.
| 源语言 | 英语 |
|---|---|
| 页 | 859-863 |
| 页数 | 5 |
| 出版状态 | 已出版 - 2000 |
| 活动 | Proceedings of the 3th World Congress on Intelligent Control and Automation - Hefei, 中国 期限: 28 6月 2000 → 2 7月 2000 |
会议
| 会议 | Proceedings of the 3th World Congress on Intelligent Control and Automation |
|---|---|
| 国家/地区 | 中国 |
| 市 | Hefei |
| 时期 | 28/06/00 → 2/07/00 |
指纹
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Duan, S., He, C., Xu, L., & Ma, D. (2000). A training method for improving the generalization performance of radial basis function networks. 859-863. 论文发表于 Proceedings of the 3th World Congress on Intelligent Control and Automation, Hefei, 中国.