摘要
该文主要介绍了利用MATLAB的fuzzy工具箱来解决非线性系统的模糊建模问题的几种方法,讲解了模糊建模的设计原理与步骤,在MATLAB环境中用编程和可视化编辑两方法来解决建模问题,针对原有方法的不足给出了改进,并给出程序设计。通过一个非线性实例设计了它的自适应神经网络模糊模型,从仿真结果可看出改进后的非线性系统模型更有效。
Based on MATLAB fuzzy box, this paper present different methods to build fuzzy model for nonlinear system, introduce the design and processes. It can solve fuzzy model by program and visual compilation under the MATLAB environment, It also give improvement to the shortage of old method and give it's program. By designing a self-adapt neural fuzzy model for a nonlinear system , we can draw a conclusion that the new nonlinear model has high precision and good visual effect.
出处
《计算机仿真》
CSCD
2004年第5期49-52,16,共5页
Computer Simulation
关键词
模糊建模
模糊神经网络
可视化
减法聚类
Fuzzy modeling
Fuzzy neural network
Visualization
Subtract clustering
