| 一种基于互相关函数的神经网络在线解耦学习算法 |
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| 引用本文： | 李新利,白焰. 一种基于互相关函数的神经网络在线解耦学习算法[J]. 系统仿真学报, 2005, 17(7): 1594-1596,1600 |
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| 作者姓名： | 李新利 白焰 |
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| 作者单位： | 华北电力大学自动化系,北京,102206 |
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| 基金项目： | 华北电力大学青年教师资助项目(HDQNJJ2003-3) |
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| 摘 要： | 在分散解耦的系统框架上提出了基于MIMO过程互相关函数的神经网络解耦器在线学习算法。该算法定义了一组MIMO过程的互相关函数作为神经网络解耦器的指标函数，采用混合遗传算法在线训练神经网络。结合强耦合的非线性系统的仿真结果表明该算法的有效性。
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| 关 键 词： | 冲经网络 解耦 非线性系统 在线学习 遗传算法 |
| 文章编号： | 1004-731X(2005)07-1594-03 |
Online Learning Algorithm of Neural Network Decoupler Based on Cross-Correlation Function |
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| LI Xin-li,BAI Yan. Online Learning Algorithm of Neural Network Decoupler Based on Cross-Correlation Function[J]. Journal of System Simulation, 2005, 17(7): 1594-1596,1600 |
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| Authors: | LI Xin-li BAI Yan |
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| Abstract: | A kind of online learning algorithm of Neural Network Decoupler based on MIMO cross-correlation function was proposed on the frame of distributed decoupling system .The algorithm made a set of cross-correlation function of the MIMO act as the target function of neural decoupler, and adopted mixing genetic algorithm to train neural decoupler online. The efficiency of the algorithm isshown by numerical simulations combining nonlinear coupling system . |
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| Keywords: | Neural networks Decoupling Nonlinear system Online learning Genetic algorithm |
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