Training ANFIS Using Genetic Algorithm for Dynamic Systems Identification

Yıl 2016, , 44 - 47, 26.12.2016

Bülent Haznedar , Adem Kalınlı

https://doi.org/10.18201/ijisae.266053

Cited By: 21

Öz

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.

Anahtar Kelimeler

Neuro-Fuzzy, ANFIS, Genetic Algorithm, System Identification

Kaynakça

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