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Authors: Soheil Bahrampour 1 ; Sahand Ghorbanpour 2 and Amin Ramezani 3

Affiliations: 1 1Control and Intelligent Processing Center of Excellence, School of ECE, University of Tehran,, Iran, Islamic Republic of ; 2 Douran Company, Iran, Islamic Republic of ; 3 Control and Intelligent Processing Center of Excellence, School of ECE, University of Tehran, Iran, Islamic Republic of

ISBN: 978-989-8111-30-2

Keyword(s): Recurrent fuzzy neural network, identification, breeding swarm optimization.

Related Ontology Subjects/Areas/Topics: Evolutionary Computation and Control ; Hybrid Learning Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization

Abstract: The usage of recurrent fuzzy neural network has been increased recently. These networks can approximate the behaviour of the dynamical systems because of their feedback structure. The Backpropagation of error has usually been used for training this network. In this paper, a novel approach for learning the parameters of RFNN is proposed using combination of the backpropagation and breeding particle swarm optimization. A comparison of this approach with previous methods is also made to demonstrate the effectiveness of this algorithm. Particle swarm is a derivative free, globally optimizing approach that makes the training of the network easier. These can solve the problems of gradient based method, which are instability, local minima and complexity of differentiating.

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Paper citation in several formats:
Bahrampour S.; Ghorbanpour S.; Ramezani A. and (2008). COMBINATION OF BREEDING SWARM OPTIMIZATION AND BACKPROPAGATION ALGORITHM FOR TRAINING RECURRENT FUZZY NEURAL NETWORK.In Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8111-30-2, pages 314-317. DOI: 10.5220/0001491703140317

@conference{icinco08,
author={Soheil Bahrampour and Sahand Ghorbanpour and Amin Ramezani},
title={COMBINATION OF BREEDING SWARM OPTIMIZATION AND BACKPROPAGATION ALGORITHM FOR TRAINING RECURRENT FUZZY NEURAL NETWORK},
booktitle={Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2008},
pages={314-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001491703140317},
isbn={978-989-8111-30-2},
}

TY - CONF

JO - Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - COMBINATION OF BREEDING SWARM OPTIMIZATION AND BACKPROPAGATION ALGORITHM FOR TRAINING RECURRENT FUZZY NEURAL NETWORK
SN - 978-989-8111-30-2
AU - Bahrampour, S.
AU - Ghorbanpour, S.
AU - Ramezani, A.
PY - 2008
SP - 314
EP - 317
DO - 10.5220/0001491703140317

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