OPTIMIZATION OF STRUCTURE OF FUZZY-NEURAL SYSTEMS USING COEVOLUTIONARY ALGORITHM
Zikrija Avdagic, Samir Omanovic, Emir Buza, Belma Cardakovic
2011
Abstract
This paper is related to a research of modelling fuzzy-neural systems using the coevolutionary algorithm, and has the focus on advantages of using the coevolutionary algorithm for system structure optimization. In the context of this work, the term fuzzy-neural system defines the system that can be used as the fuzzy system with all its functionalities or as the neural network with all its functionalities. The hybridization of fuzzy logic, neural networks and coevolutionary algorithm and its architecture are presented in general, and the role of the coevolutionary algorithm in structure optimization is described in details. Results of testing with Iris Database, from UCI Machine Learning Repository are also presented. Tests performed during the research supports the conclusion that usage of the coevolutionary algorithm for the fuzzy-neural system’s structure optimization is very efficient.
References
- Omanovic, S., Avdagic Z., 2011. Modeling of FuzzyNeural Systems Using the Coevolutionary Algorithm. In WSEAS'11, 12th International Conference on Fuzzy Systems. WSEAS Press.
- Pena-Reyes, C., 2002. Coevolutionary Fuzzy Modeling - doctoral thesis, EPFL. Lausanne.
- Nedjah, N., et al. (Eds.), 2005. Fuzzy System Engineering: Theory and Practice, Chapter 3 - Adaptation of Fuzzy Inference System Using Neural Learning (A. Abraham), pp. 53-83, Springer. Verlag.
- Kasabov, N., 2003. Evolving Connectionist Systems - methods and applications in bioinformatics, brain study and intelligent machines, Springer. Verlag.
- Cordón, O., et al., 2001. Genetic Fuzzy Systems - Evolutionary Tuning and Learning of Fuzzy Knowledge Bases, World Scientific Publishing Co. Pte. Ltd. Singapore.
- Chen, Y., Abraham, A., 2010. Tree-Structure Based Hybrid Computational Intelligence, Springer. Verlag.
- Sivanandam, S. N., Sumathi, S., Deepa, S. N., 2007. Introduction to Fuzzy Logic using MATLAB, Springer. Verlag.
- MathWorks, Inc., 2009. MATLAB Help.
Paper Citation
in Harvard Style
Avdagic Z., Omanovic S., Buza E. and Cardakovic B. (2011). OPTIMIZATION OF STRUCTURE OF FUZZY-NEURAL SYSTEMS USING COEVOLUTIONARY ALGORITHM . In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011) ISBN 978-989-8425-83-6, pages 125-130. DOI: 10.5220/0003642001250130
in Bibtex Style
@conference{ecta11,
author={Zikrija Avdagic and Samir Omanovic and Emir Buza and Belma Cardakovic},
title={OPTIMIZATION OF STRUCTURE OF FUZZY-NEURAL SYSTEMS USING COEVOLUTIONARY ALGORITHM},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)},
year={2011},
pages={125-130},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003642001250130},
isbn={978-989-8425-83-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)
TI - OPTIMIZATION OF STRUCTURE OF FUZZY-NEURAL SYSTEMS USING COEVOLUTIONARY ALGORITHM
SN - 978-989-8425-83-6
AU - Avdagic Z.
AU - Omanovic S.
AU - Buza E.
AU - Cardakovic B.
PY - 2011
SP - 125
EP - 130
DO - 10.5220/0003642001250130