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非线性系统的神经-模糊建模方法的研究
引用本文:郝昕玉,姬长英.非线性系统的神经-模糊建模方法的研究[J].江西农业学报,2008,20(9):112-114.
作者姓名:郝昕玉  姬长英
作者单位:南京农业大学,工学院,江苏,南京,210031
摘    要:提出了一种基于自适应神经-模糊推理系统(ANFIS)的非线性系统辨识方法,介绍了神经一模糊建模的设计原理,并且对ANFIS在不同的输入下进行仿真,实验仿真结果表明,ANFIS进行非线性系统辨识是可行的,其辨识精度很高。

关 键 词:自适应神经模糊推理系统  非线性系统  辨识  建模方法

Study on Neural- fuzzy Modeling for Nonlinear System
HAO Xin-yu,JI Chang-ying.Study on Neural- fuzzy Modeling for Nonlinear System[J].Acta Agriculturae Jiangxi,2008,20(9):112-114.
Authors:HAO Xin-yu  JI Chang-ying
Institution:HAO Xin - yu ,JI Chang - ying (College of Engineering, Nanjing Agricultural University, Nanjing 210031, China)
Abstract:An adaptive neural-fuzzy method for nonlinear system(ANFIS) was presented in this paper.By giving the model of different inputs,some simulation experiments were carried out.The simulation results showed that ANFIS was very effective for identifying the nonlinear system and its accuracy was very high.
Keywords:ANFIS  Nonlinear system  Identification
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