| 一种差分进化算法优化小波神经网络及其在弱信号检测中的应用 |
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| 引用本文： | 李目,何怡刚,周少武,刘祖润.一种差分进化算法优化小波神经网络及其在弱信号检测中的应用[J].计算机应用与软件,2010,27(3):29-31,39. |
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| 作者姓名： | 李目 何怡刚 周少武 刘祖润 |
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| 作者单位： | 1. 湖南科技大学信息与电气工程学院,湖南,湘潭,411201
2. 湖南大学电气与信息工程学院,湖南,长沙,410082 |
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| 基金项目： | 国家自然科学基金项目(50677014,60876022);;湖南省自然科学基金项目(06JJ2024);;湖南省教育厅科研项目(05C188) |
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| 摘 要： | 在混沌理论和相空间重构技术的基础上,提出了一种基于小生境自适应差分进化小波神经网络(NADE-WNN)的混沌背景下弱信号检测方法。该方法采用小生境自适应差分进化算法同时优化小波神经网络的结构和参数,简化网络结构,提高网络的学习精度和收敛速度。实验结果表明,与传统的RBF神经网络和小波神经网络预测混沌时间序列的性能相比,该算法优化的小波神经网络具有更高的预测精度和收敛速度,能够较好地检测出混沌背景下的弱信号。
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| 关 键 词： | 小生境 自适应 差分进化算法 小波神经网络 弱信号 检测 |
OPTIMIZATING WAVELET NEURAL NETWORK WITH DIFFERENTIAL EVOLUTION ALGORITHM AND ITS APPLICATION IN WEAK SIGNAL DETECTION |
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| Li Mu,He Yigang,Zhou Shaowu,Liu Zurun.OPTIMIZATING WAVELET NEURAL NETWORK WITH DIFFERENTIAL EVOLUTION ALGORITHM AND ITS APPLICATION IN WEAK SIGNAL DETECTION[J].Computer Applications and Software,2010,27(3):29-31,39. |
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| Authors: | Li Mu He Yigang Zhou Shaowu Liu Zurun |
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| Affiliation: | School of Information and Electrical Engineering/a>;Hunan University of Science and Technology/a>;Xiangtan 411201/a>;Hunan/a>;China;College of Electrical and Information Engineering/a>;Hunan University/a>;Changsha 410082/a>;China |
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| Abstract: | A novel method of weak signal detection in chaos condition of niche adaptive differential evolution wavelet neural network(NADE-WNN) model was presented based on chaos theory and phase-space reconstruction technology.The structures and parameters of wavelet neural network were optimized by NADE algorithm at the same time in the model,the network structure was simplified and the learning precision as well as convergence rate were improved.Comparing with traditional RBF neural network and wavelet neural netwo... |
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| Keywords: | Niche Adaptive Differential evolution algorithm Wavelet neural network Weak signal Detection |
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