OPTIMIZATION OF A SOLID STATE FERMENTATION BASED ON RADIAL BASIS FUNCTION NEURAL NETWORK AND PARTICLE SWARM OPTIMIZATION ALGORITHM
Badia Dandach-Bouaoudat, Farouk Yalaoui, Lionel Amodeo, Françoise Entzmann
2011
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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in Harvard Style
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 - Volume 1: BIOINFORMATICS, (BIOSTEC 2011) ISBN 978-989-8425-36-2, pages 287-292. DOI: 10.5220/0003136202870292
in Bibtex Style
@conference{bioinformatics11,
author={Badia Dandach-Bouaoudat and Farouk Yalaoui and Lionel Amodeo and Françoise 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 - Volume 1: BIOINFORMATICS, (BIOSTEC 2011)},
year={2011},
pages={287-292},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003136202870292},
isbn={978-989-8425-36-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2011)
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
AU - Dandach-Bouaoudat B.
AU - Yalaoui F.
AU - Amodeo L.
AU - Entzmann F.
PY - 2011
SP - 287
EP - 292
DO - 10.5220/0003136202870292