Parallel genetic algorithms for optimised fuzzy modelling with application to a fermentation process

This paper reports the construction and application of an evolution program to a computational intelligence system used as a software `sensor' in state-estimation and prediction of biomass concentration in a fermentation process. A fuzzy logic system (FLS) is used as a computational engine to `...

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Bibliographic Details
Published in:	IEE conference publication pp. 123 - 128
Main Author:	Soufian, M
Format:	Conference Proceeding
Language:	English
Published:	London IEE 1997
Subjects:	Algorithmics. Computability. Computer arithmetics Applied sciences Artificial intelligence Computer science; control theory; systems Connectionism. Neural networks Control applications in food processing industries Exact sciences and technology Food industry Formal logic Industrial applications of IT Industrial processes Learning and adaptive systems Manufacturing and industrial administration Neural nets Optimisation Optimisation techniques Parallel programming and algorithm theory Systems analysis and programming Theoretical computing parallel algorithms software prototyping fermentation process fuzzy logic evolution program biomass concentration parallel genetic algorithms genetic algorithms food processing industry graphical fit artificial neural networks squared errors computational engine optimised fuzzy modelling Levenberg-Marquardt second-order nonlinear optimisation fermentation state estimation fuzzy logic system neural nets Parallel algorithm Estimation Prediction Neural network Experimental study Fermentation Optimization Fuzzy logic System performance Genetic algorithm Data structure Artificial intelligence Intelligent system
ISBN:	9780852966938, 0852966938
ISSN:	0537-9989
Online Access:	Get full text
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