International Journal of Intelligent Systems and Applications in Engineering
2016: Special Issue

Training ANFIS Using Genetic Algorithm for Dynamic Systems Identification

HAZNEDAR, Bülent (Unknown)
KALINLI, Adem (Unknown)

Article Info

Publish Date
26 Dec 2016

Abstract

In this study, the premise and consequent parameters of ANFIS are optimized using Genetic Algorithm (GA) based on a population algorithm. The proposed approach is applied to the nonlinear dynamic system identification problem. The simulation results of the method are compared with the Backpropagation (BP) algorithm and the results of other methods that are available in the literature. With this study it was observed that the optimisation of ANFIS parameters using GA is more successful than the other methods.

Copyrights © 2016




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Journal Info
International Journal of Intelligent Systems and Applications in Engineering
Website

Abbrev

IJISAE

Publisher

Ismail SARITAS

Subject

Computer Science & IT

Description

International Journal of Intelligent Systems and Applications in Engineering (IJISAE) is an international and interdisciplinary journal for both invited and contributed peer reviewed articles that intelligent systems and applications in engineering at all levels. The journal publishes a broad range ...