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Authors: Badia Dandach-Bouaoudat 1 ; Farouk Yalaoui 2 ; Lionel Amodeo 2 and Françoise Entzmann 3

Affiliations: 1 University of technology of troyes, France ; 2 University of Technology of Troyes, France ; 3 Ets J.Soufflet, France

Keyword(s): Solid state fermentation, Enzyme production, Optimization, Response surface methodology, Neural network, Particles swarm optimization algorithm.

Related Ontology Subjects/Areas/Topics: Bioinformatics ; Biomedical Engineering ; Biostatistics and Stochastic Models

Abstract: Radial basis function neural network (RBF) and particle swarm optimization (PSO) are used to model and optimize a solid state fermentation (SSF) for production of the enzyme. Experimental data reported in the literature are used to investigate this approach. The response surface methodology (RSM) is applied to optimize PSO parameters. Using this procedure, two artificial intelligence techniques (RBF-PSO) have been effectively integrated to create a powerful tool for bioprocess modelling and optimization. This paper describes the applications of this approach for the first time in the solid state fermentation optimization.

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Paper citation in several formats:
Dandach-Bouaoudat, B.; Yalaoui, F.; Amodeo, L. and Entzmann, F. (2011). OPTIMIZATION OF A SOLID STATE FERMENTATION BASED ON RADIAL BASIS FUNCTION NEURAL NETWORK AND PARTICLE SWARM OPTIMIZATION ALGORITHM. In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2011) - BIOINFORMATICS; ISBN 978-989-8425-36-2; ISSN 2184-4305, SciTePress, pages 287-292. DOI: 10.5220/0003136202870292

@conference{bioinformatics11,
author={Badia Dandach{-}Bouaoudat. and Farouk Yalaoui. and Lionel Amodeo. and Fran\c{C}oise Entzmann.},
title={OPTIMIZATION OF A SOLID STATE FERMENTATION BASED ON RADIAL BASIS FUNCTION NEURAL NETWORK AND PARTICLE SWARM OPTIMIZATION ALGORITHM},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2011) - BIOINFORMATICS},
year={2011},
pages={287-292},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003136202870292},
isbn={978-989-8425-36-2},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2011) - BIOINFORMATICS
TI - OPTIMIZATION OF A SOLID STATE FERMENTATION BASED ON RADIAL BASIS FUNCTION NEURAL NETWORK AND PARTICLE SWARM OPTIMIZATION ALGORITHM
SN - 978-989-8425-36-2
IS - 2184-4305
AU - Dandach-Bouaoudat, B.
AU - Yalaoui, F.
AU - Amodeo, L.
AU - Entzmann, F.
PY - 2011
SP - 287
EP - 292
DO - 10.5220/0003136202870292
PB - SciTePress

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