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Authors: Mejda Chihaoui 1 ; Wajdi Bellil 1 and Chokri Ben Amar 2

Affiliations: 1 University of Gafsa, Tunisia ; 2 REGIM: Research Group on Intelligent Machines, National School of Engineers (ENIS) and University of Sfax, Tunisia

Keyword(s): Multi mother wavelet neural network, Gradient descent, Functions’ approximation, Genetic algorithms.

Related Ontology Subjects/Areas/Topics: Adaptive Architectures and Mechanisms ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: This paper presents a new wavelet-network-based technique for 1D and 2D functions’ approximation. Classical training algorithms start with a predetermined network structure which can be either insufficient or overcomplicated. Furthermore, the resolutions of wavelet networks training problems by gradient are characterized by their noticed inability to escape of local optima. The main feature of this technique is that it avoids both insufficiency and local minima by including genetic algorithms. Simulation results are demonstrated to validate the generalization ability and efficiency of the proposed Multi Mother Wavelet Neural Network based on genetic algorithms.

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Paper citation in several formats:
Chihaoui, M.; Bellil, W. and Amar, C. (2010). MULTI MOTHER WAVELET NEURAL NETWORK BASED ON GENETIC ALGORITHM FOR 1D AND 2D FUNCTIONS’ APPROXIMATION . In Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation (IJCCI 2010) - ICNC; ISBN 978-989-8425-32-4, SciTePress, pages 429-434. DOI: 10.5220/0003083704290434

@conference{icnc10,
author={Mejda Chihaoui. and Wajdi Bellil. and Chokri Ben Amar.},
title={MULTI MOTHER WAVELET NEURAL NETWORK BASED ON GENETIC ALGORITHM FOR 1D AND 2D FUNCTIONS’ APPROXIMATION },
booktitle={Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation (IJCCI 2010) - ICNC},
year={2010},
pages={429-434},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003083704290434},
isbn={978-989-8425-32-4},
}

TY - CONF

JO - Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation (IJCCI 2010) - ICNC
TI - MULTI MOTHER WAVELET NEURAL NETWORK BASED ON GENETIC ALGORITHM FOR 1D AND 2D FUNCTIONS’ APPROXIMATION
SN - 978-989-8425-32-4
AU - Chihaoui, M.
AU - Bellil, W.
AU - Amar, C.
PY - 2010
SP - 429
EP - 434
DO - 10.5220/0003083704290434
PB - SciTePress

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