Modeling techniques and processes control application based on Neural Networks with on-line adjustment using Genetic Algorithms

Modeling techniques and processes control application based on Neural Networks with on-line adjustment using Genetic Algorithms

In this work a strategy is presented for the temperature control of the polymerization reaction of styrene in suspension in batch. A three-layer feed forward Artificial Neural Network was trained in an off-line way starting from a removed group of patterns of the experimental system and applied in t...

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Bibliographic Details
Main Authors:	R. F. Marcolla, R. A. F. Machado, A. Cancelier, C. A. Claumann, A. Bolzan
Format:	Article
Language:	English
Published:	Brazilian Society of Chemical Engineering 2009-03-01
Series:	Brazilian Journal of Chemical Engineering
Subjects:	Predictive Control Neural Networks Genetic Algorithms Polystyrene Artificial Intelligence
Online Access:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322009000100011

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