| 引用本文: | 谭永红.多层前向神经网络的RLS训练算法及其在辨识中的应用[J].控制理论与应用,1994,11(5):594~599.[点击复制] |
| TAN Yonghong.RLS Training Algorithm for Multilayer Feedforward Neural Networks and Its Application to Identification[J].Control Theory & Applications,1994,11(5):594~599.[点击复制] |
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| 多层前向神经网络的RLS训练算法及其在辨识中的应用 |
| RLS Training Algorithm for Multilayer Feedforward Neural Networks and Its Application to Identification |
| 摘要点击 1705 全文点击 635 投稿时间：1992-11-11 修订日期：1993-12-13 |
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| DOI编号 |
| 1994,11(5):594-599 |
| 中文关键词 神经网络 辨识 最小二乘法 非线性系统 学习 |
| 英文关键词 neural networks identification least squares method non-linear system learning |
| 基金项目 |
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| 中文摘要 |
| 本文提出了一种基于递推最小二乘法（RLS）的多层前向神经网络的快速学习算法，并用其对非线性过程进行辨识。仿真及对实际例子的辨识结果表明本文提出的方法是有效的。 |
| 英文摘要 |
| This paper proposes a fast learning algorithm based on the recursive least squares （RLS）method for the multilayer feedforward neural networks. The algorithm has also been used for the identification of non-linear processes. The results obtained from the identification of simulation as well as real process demonstrate the effectiveness of the proposed method. |