| 基于自适应神经模糊推理系统的非线性系统辨识与仿真 |
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| 引用本文： | 赵静,刘琦.基于自适应神经模糊推理系统的非线性系统辨识与仿真[J].中州大学学报,2006,23(4):113-114,117. |
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| 作者姓名： | 赵静 刘琦 |
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| 作者单位： | 1. 中州大学,工程技术学院,郑州,450005
2. 河南公安高等专科学校,信息安全系,郑州,450002 |
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| 摘 要： | 针对非线性系统的模糊性、不确定性等特点，将模糊推理系统和神经网络相结合，介绍了一种自适应神经模糊推理系统，并将其应用于非线性系统辨识中，仿真结果表明：训练后的ANFIS能够很好地逼近实际的非线性系统，并且辨识精度高。
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| 关 键 词： | 自适应神经模糊推理系统 辨识 神经网络 模糊推理系统 |
| 文章编号： | 1008-3715（2006）04-0113-02 |
| 收稿时间： | 03 25 2006 12:00AM |
| 修稿时间： | 2006-03-25 |
Identification and Simulation for Nonlinear System Based on ANFIS |
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| ZHAO Jing,LIU Qi.Identification and Simulation for Nonlinear System Based on ANFIS[J].Journal of Zhongzhou University,2006,23(4):113-114,117. |
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| Authors: | ZHAO Jing LIU Qi |
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| Institution: | 1. Engineering Technology School of Zhongzhou University, Zhengzhou 450005, China;2. Information Security Department of Henan Public Security Academy,Zhengzhou 450002, China |
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| Abstract: | For the characteristics of fuzziness,indeterminacy etc.in nonlinear systems,this paper,combining fuzzy inference system with neural network,introduces the adaptive neuro-fuzzy inference system(ANIFS) and its applications in the identification for nonlinear system.The simulation results show that the trained ANFIS can simulate the actual nonlinear system very well with high accuracy. |
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| Keywords: | ANFIS identification neural network fuzzy inference system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
