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一种基于改进遗传算法的新型小波神经网研究
引用本文:张文广,周绍磊,戴邵武,李新,赵海鹰.一种基于改进遗传算法的新型小波神经网研究[J].计算机工程,2006,32(16):198-200.
作者姓名:张文广  周绍磊  戴邵武  李新  赵海鹰
作者单位:1. 海军航空工程学院控制工程系,烟台,264001
2. 海军航空工程学院科研部,烟台,264001
摘    要:提出了一种基于改进遗传算法(Improved Genetic Algorithm , IGA)的新型BP小波神经网络,并通过异或问题和非线性辨识问题进行仿真实验。实验结果表明,基于改进遗传算法的BP小波网络不仅具有小波分析良好的局部特性以及神经网络的学习、分类能力,而且具有遗传算法全局快速寻优的特点,与简单遗传算法相比,在收敛快速性和稳定性方面都有了明显的改善。

关 键 词:神经网络  小波分析  遗传算法  系统辨识
文章编号:1000-3428(2006)16-0198-03
收稿时间:11 22 2005 12:00AM
修稿时间:2005-11-22

Research of A New Wavelet Neural Network Based on Improved Genetic Algorithm
ZHANG Wenguang,ZHOU Shaolei,DAI Shaowu,LI Xin,ZHAO Haiying.Research of A New Wavelet Neural Network Based on Improved Genetic Algorithm[J].Computer Engineering,2006,32(16):198-200.
Authors:ZHANG Wenguang  ZHOU Shaolei  DAI Shaowu  LI Xin  ZHAO Haiying
Affiliation:1. Department of Control Engineering, Naval Aeronautical Engineering Institute, Yantai 264001 ; 2. Department of Scientific Research, Naval Aeronautical Engineering Institute, Yantai 264001
Abstract:A new BP wavelet neural network based on improved genetic algorithm(IGA) is proposed,and the simulation experiments about the XOR problem and the nonlinear-model identification have been done.The simulation results show that the new BP wavelet neural network based on improved genetic algorithm not only has the local property of wavelet analysis and the learning and classification capability of artificial neural network,but also has the advantages of the fast global searching of genetic algorithm.And compared with BP WNN based on simple genetic algorithm(SGA),it is clearly improved in terms of convergent speed and stability.
Keywords:Neural network  Wavelet analysis  Genetic algorithm  System identification
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