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．
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.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1994年第5期594-599,共6页
Control Theory & Applications
关键词
神经网络
辨识
最小二乘法
BP算法
neural networks
identification
least squares method
non-linear system
learning
