| 基于改进遗传算法的递归神经网络模型辨识 |
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| 引用本文： | 王磊. 基于改进遗传算法的递归神经网络模型辨识[J]. 太原师范学院学报(自然科学版), 2006, 5(2): 17-19,37 |
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| 作者姓名： | 王磊 |
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| 作者单位： | 西北师范大学,数学与信息科学学院,甘肃,兰州,730070 |
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| 摘 要： | 将递归内时延神经网络应用于非线性动力学系统中，引入遗传算法作为其学习算法，提出遗传算法新的编码方案，并且在遗传操作中采用适应度的调整策略，通过仿真实验，表明该方法是有效的。
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| 关 键 词： | 递归网络 遗传算法 辨识 |
| 文章编号： | 1672-2027（2006）02-0017-03 |
| 收稿时间： | 2006-04-07 |
| 修稿时间： | 2006-04-07 |
Nonlinear System Identification with Recurrent Neural Network Based on Improved Genetic Algorithm |
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| Wang Lei. Nonlinear System Identification with Recurrent Neural Network Based on Improved Genetic Algorithm[J]. Journal of Taiyuan Normal University:Natural Science Edition, 2006, 5(2): 17-19,37 |
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| Authors: | Wang Lei |
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| Affiliation: | College of Mathematics and Information Science, Northwest Normal University,Lanzhou 730070,China |
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| Abstract: | An internal time-delay recurrent neural network(RNN) is used for identification of nonlinear dynamic systems,and an improved genetic algorithm is applied to train the RNN.The strategy of Fitness adjustment is used in genetic operation.At last,simulation shows that this algorithm has effectiveness. |
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| Keywords: | recurrent neural network genetic algorithm identification |
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