| 一种基于模糊神经网络的非线性系统模型辨识方法 |
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| 引用本文： | 李映, 白本督, 焦李成. 一种基于模糊神经网络的非线性系统模型辨识方法[J]. 电子与信息学报, 2002, 24(3): 355-360. |
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| 作者姓名： | 李映 白本督 焦李成 |
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| 作者单位： | 1. 西安电子科技大学雷达信号处理重点实验室,西安,710071
2. 西安电子科技大学296信箱,西安,710071 |
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| 基金项目： | 国家教育部博士点基金，国家部级基金 |
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| 摘 要： | 该文提出一种非线性系统的模型辨识方法。通过结构的辨识(学习)和参数的辨识(学习),构造了一个模糊神经网络,经调整网络的权值,获得一个精确的模糊模型。对两个非线性系统辨识的仿真结果验证了该方法的有效性。
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| 关 键 词： | 模糊神经网络 结构辨识 参数辨识 系统辨识 |
| 收稿时间： | 2000-01-12 |
| 修稿时间： | 2000-01-12 |
A model identification approach of nonlinear-systems based on fuzzy neural networks |
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| Li Ying, Bai Bendu, Jiao Licheng. A model identification approach of nonlinear-systems based on fuzzy neural networks[J]. Journal of Electronics & Information Technology, 2002, 24(3): 355-360. |
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| Authors: | Li Ying Bai Bendu Jiao Licheng |
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| Affiliation: | Key Lab. for Radar Signal Processing Xidian University Xi' an 710071 China;P. O. Box 296 Xi'an 710071 China |
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| Abstract: | This paper presents a model identification approach of nonlinear-systems. Through structure identification (learning) and parameter identification (learning), a fuzzy neural network is constructed. Having adjusted the weights of the fuzzy neural network, a precise fuzzy model is obtained. Finally, the effectiveness of the proposed technique is confirmed by the simulation results of two nonlinear systems. |
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| Keywords: | Fuzzy neural networks Structure identification Parameter identification System identification |
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