| 多层前向神经网络的RLS训练算法及其在辨识中的应用 |
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| 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. |
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| 作者姓名： | 谭永红 |
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| 作者单位： | 桂林电子工业学院计算机工程系 |
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| 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。
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| 关 键 词： | 神经网络 辨识 最小二乘法 BP算法 |
| 收稿时间： | 1992/11/11 0:00:00 |
| 修稿时间： | 1993/12/13 0:00:00 |
RLS Training Algorithm for Multilayer Feedforward Neural Networks and Its Application to Identification |
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| TAN Yonghong.RLS Training Algorithm for Multilayer Feedforward Neural Networks and Its Application to Identification[J].Control Theory & Applications,1994,11(5):594-599. |
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| Authors: | TAN Yonghong |
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| Affiliation: | Department of Computer Engineering, Guilin Institute of Electronic Technology |
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| Abstract: | 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. |
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| Keywords: | neural networks identification least squares method non-linear system learning |
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