A Comparative Study of Neural Networks and Fuzzy Systems in Modeling of a Nonlinear Dynamic System

An International Journal of Optimization and Control: Theories & Applications

article

Metin DEMIRTAS¹  Musa ALCI² 

[1] Balikesir University;Ege University

关键词: Neural networks;    fuzzy;    brushless dc motor;    modeling system;    DSP;   

DOI  :  10.11121/ijocta.01.2011.0055

学科分类：地球科学(综合)

来源: Balikesir University

【 摘 要 】

The aim of this paper is to compare the neural network and fuzzy modeling approaches on a nonlinear system. We have taken Permanent Magnet Brushless Direct Current (PMBDC) motor data and have generated models using both approaches. The predictive performance of both methods was compared on the data set for model configurations.The paper describes the results of these tests and discusses the effects of changing model parameters on predictive and practical performance. Modeling sensitivity was used to compare for two methods.

【 授权许可】

CC BY