Hybrid Evolutionary Algorithms based on PSO-GA for Training ANFIS Structure
This paper introduces a new approach for training the adaptive network based fuzzy inference system (ANFIS).In this study we apply hybrid of Particle swarm optimization with Genetic Algorithm (PSOGA) in it to the training the antecedent parameters and the conclusion parameters ANFIS structure
Finally the method is applied to the identification of nonlinear dynamical system and is compared with basic BP, GA, PSO and showed quite satisfactory results. The proposed method is
applied to identification of the nonlinear systems and prediction
chaos systems
Keywords: ANFIS, Genetic Algorithm, Swarm Intelligent, Identification, Training
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ABOUT THE AUTHORS
S.Milad.Nayyer Sabeti
S. Milad. Nayyer Sabeti was born in Rasht, Iran, in 1986. He received the B.Sc. degree from the University of Rasht, Iran, in electrical engineering since 2008.and the M.Sc. degree from the Shahid Beheshti University of Medical Sciences and Health Services, Tehran, Iran in biomedical engineering. He has been working toward the M.Sc. degree in biomedical engineering at the Shahid Beheshti University. His main research interests include bio robotic, signal processing& medical image processing, computational intelligence, intelligent optimization, and multi objective optimization. He is currently doing research in the field of control bio robotic systems, as M.Sc. thesis.
M. Deevband
MR.Deevband received the B.Sc. degree from the shahid bahonar Kerman, Tehran, Iran, the M.Sc. degree from the Isfahan University of Medical Science, Tehran, Iran, and the Ph.D. degree from Tarbiat Modaress University, Tehran, Iran, in 1998, all in medical phiysic.From 2011 , he was a Faculty Member at the Shahid Beheshti University of Medical Sciences and Health Services, Tehran, Iran. He is currently an Associate Professor with the Faculty Medical Physics and Biomedical engineering Department of Medical Physics and Biomedical engineering. His interest interests include medical image processing, computational intelligence, intelligent optimization and radiation protection.
S.Milad.Nayyer Sabeti
S. Milad. Nayyer Sabeti was born in Rasht, Iran, in 1986. He received the B.Sc. degree from the University of Rasht, Iran, in electrical engineering since 2008.and the M.Sc. degree from the Shahid Beheshti University of Medical Sciences and Health Services, Tehran, Iran in biomedical engineering. He has been working toward the M.Sc. degree in biomedical engineering at the Shahid Beheshti University. His main research interests include bio robotic, signal processing& medical image processing, computational intelligence, intelligent optimization, and multi objective optimization. He is currently doing research in the field of control bio robotic systems, as M.Sc. thesis.
M. Deevband
MR.Deevband received the B.Sc. degree from the shahid bahonar Kerman, Tehran, Iran, the M.Sc. degree from the Isfahan University of Medical Science, Tehran, Iran, and the Ph.D. degree from Tarbiat Modaress University, Tehran, Iran, in 1998, all in medical phiysic.From 2011 , he was a Faculty Member at the Shahid Beheshti University of Medical Sciences and Health Services, Tehran, Iran. He is currently an Associate Professor with the Faculty Medical Physics and Biomedical engineering Department of Medical Physics and Biomedical engineering. His interest interests include medical image processing, computational intelligence, intelligent optimization and radiation protection.
