Modelling And Optimization of Biotechnological Processes: Artificial Intelligence Approaches - Couverture rigide
Synopsis
Mostindustrialbiotechnologicalprocessesareoperatedempirically.Oneofthe major di?culties of applying advanced control theories is the highly nonlinear nature of the processes. This book examines approaches based on arti?cial intelligencemethods, inparticular, geneticalgorithmsandneuralnetworks, for monitoring, modelling and optimization of fed-batch fermentation processes. The main aim of a process control is to maximize the ?nal product with minimum development and production costs. This book is interdisciplinary in nature, combining topics from biotechn- ogy, arti?cial intelligence, system identi?cation, process monitoring, process modelling and optimal control. Both simulation and experimental validation are performed in this study to demonstrate the suitability and feasibility of proposed methodologies. An online biomass sensor is constructed using a - current neural network for predicting the biomass concentration online with only three measurements (dissolved oxygen, volume and feed rate). Results show that the proposed sensor is comparable or even superior to other sensors proposed in the literature that use more than three measurements. Biote- nological processes are modelled by cascading two recurrent neural networks. It is found that neural models are able to describe the processes with high accuracy. Optimization of the ?nal product is achieved using modi?ed genetic algorithms to determine optimal feed rate pro?les. Experimental results of the corresponding production yields demonstrate that genetic algorithms are powerful tools for optimization of highly nonlinear systems. Moreover, a c- bination of recurrentneural networks and genetic algorithms provides a useful and cost-e?ective methodology for optimizing biotechnological processes.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Autres éditions populaires du même titre
Résultats de recherche pour Modelling And Optimization of Biotechnological Processes:...
Image d'archives
Radiologic Diagnosis of Gastric Cancer: A new Outlook
Edité par
Springer-Verlag Berlin and Heide, 2006
ISBN 10 : 354030634X
ISBN 13 : 9783540306344
Ancien ou d'occasion
Couverture rigide
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_397938254
Acheter D'occasion
EUR 53,48
Frais de port :
EUR 3,23
Vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Modelling and Optimization of Biotechnological Processes: Artificial Intelligence Approaches (Studies in Computational Intelligence, 15)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur ABLIING23Mar3113020165012
Acheter neuf
EUR 103,32
Frais de port :
EUR 3,44
Vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Modelling and Optimization of Biotechnological Processes: Artificial Intelligence Approaches (Studies in Computational Intelligence, 15)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783540306344_new
Acheter neuf
EUR 110,53
Frais de port :
EUR 13,63
De Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Modelling and Optimization of Biotechnological Processes
Edité par
Springer Berlin Heidelberg Jan 2006, 2006
ISBN 10 : 354030634X
ISBN 13 : 9783540306344
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mostindustrialbiotechnologicalprocessesareoperatedempirically.Oneofthe major di culties of applying advanced control theories is the highly nonlinear nature of the processes. This book examines approaches based on arti cial intelligencemethods,inparticular,geneticalgorithmsandneuralnetworks ,for monitoring, modelling and optimization of fed-batch fermentation processes. The main aim of a process control is to maximize the nal product with minimum development and production costs. This book is interdisciplinary in nature, combining topics from biotechn- ogy, arti cial intelligence, system identi cation, process monitoring, process modelling and optimal control. Both simulation and experimental validation are performed in this study to demonstrate the suitability and feasibility of proposed methodologies. An online biomass sensor is constructed using a - current neural network for predicting the biomass concentration online with only three measurements (dissolved oxygen, volume and feed rate). Results show that the proposed sensor is comparable or even superior to other sensors proposed in the literature that use more than three measurements. Biote- nological processes are modelled by cascading two recurrent neural networks. It is found that neural models are able to describe the processes with high accuracy. Optimization of the nal product is achieved using modi ed genetic algorithms to determine optimal feed rate pro les. Experimental results of the corresponding production yields demonstrate that genetic algorithms are powerful tools for optimization of highly nonlinear systems. Moreover, a c- bination of recurrentneural networks and genetic algorithms provides a useful and cost-e ective methodology for optimizing biotechnological processes. 132 pp. Englisch. N° de réf. du vendeur 9783540306344
Acheter neuf
EUR 106,99
Frais de port :
EUR 23
De Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Modelling and Optimization of Biotechnological Processes
Edité par
Springer Berlin Heidelberg, 2006
ISBN 10 : 354030634X
ISBN 13 : 9783540306344
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mostindustrialbiotechnologicalprocessesareoperatedempirically.Oneofthe major di?culties of applying advanced control theories is the highly nonlinear nature of the processes. This book examines approaches based on arti?cial intelligencemethods,inparticular,. N° de réf. du vendeur 4887425
Acheter neuf
EUR 92,27
Frais de port :
EUR 48,99
De Allemagne vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Modelling and Optimization of Biotechnological Processes
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2006, 2006
ISBN 10 : 354030634X
ISBN 13 : 9783540306344
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware -Mostindustrialbiotechnologicalprocessesareoperatedempirically.Oneofthe major di culties of applying advanced control theories is the highly nonlinear nature of the processes. This book examines approaches based on arti cial intelligencemethods,inparticular,geneticalgorithmsandneuralnetworks ,for monitoring, modelling and optimization of fed-batch fermentation processes. The main aim of a process control is to maximize the nal product with minimum development and production costs. This book is interdisciplinary in nature, combining topics from biotechn- ogy, arti cial intelligence, system identi cation, process monitoring, process modelling and optimal control. Both simulation and experimental validation are performed in this study to demonstrate the suitability and feasibility of proposed methodologies. An online biomass sensor is constructed using a - current neural network for predicting the biomass concentration online with only three measurements (dissolved oxygen, volume and feed rate). Results show that the proposed sensor is comparable or even superior to other sensors proposed in the literature that use more than three measurements. Biote- nological processes are modelled by cascading two recurrent neural networks. It is found that neural models are able to describe the processes with high accuracy. Optimization of the nal product is achieved using modi ed genetic algorithms to determine optimal feed rate pro les. Experimental results of the corresponding production yields demonstrate that genetic algorithms are powerful tools for optimization of highly nonlinear systems. Moreover, a c- bination of recurrentneural networks and genetic algorithms provides a useful and cost-e ective methodology for optimizing biotechnological processes.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch. N° de réf. du vendeur 9783540306344
Acheter neuf
EUR 106,99
Frais de port :
EUR 60
De Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Modelling and Optimization of Biotechnological Processes : Artificial Intelligence Approaches
Edité par
Springer Berlin Heidelberg, 2006
ISBN 10 : 354030634X
ISBN 13 : 9783540306344
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Mostindustrialbiotechnologicalprocessesareoperatedempirically.Oneof the major di culties of applying advanced control theories is the highly nonlinear nature of the processes. This book examines approaches based on arti cial intelligencemethods,inparticular,geneticalgorithmsandneuralnetworks,for monitoring, modelling and optimization of fed-batch fermentation processes. The main aim of a process control is to maximize the nal product with minimum development and production costs. This book is interdisciplinary in nature, combining topics from biotechn- ogy, arti cial intelligence, system identi cation, process monitoring, process modelling and optimal control. Both simulation and experimental validation are performed in this study to demonstrate the suitability and feasibility of proposed methodologies. An online biomass sensor is constructed using a - current neural network for predicting the biomass concentration online with only three measurements (dissolved oxygen, volume and feed rate). Results show that the proposed sensor is comparable or even superior to other sensors proposed in the literature that use more than three measurements. Biote- nological processes are modelled by cascading two recurrent neural networks. It is found that neural models are able to describe the processes with high accuracy. Optimization of the nal product is achieved using modi ed genetic algorithms to determine optimal feed rate pro les. Experimental results of the corresponding production yields demonstrate that genetic algorithms are powerful tools for optimization of highly nonlinear systems. Moreover, a c- bination of recurrentneural networks and genetic algorithms provides a useful and cost-e ective methodology for optimizing biotechnological processes. N° de réf. du vendeur 9783540306344
Acheter neuf
EUR 106,99
Frais de port :
EUR 61,86
De Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Modelling and Optimization of Biotechnological Processes: Artificial Intelligence Approaches (Studies in Computational Intelligence)
Edité par
Springer, 2006
ISBN 10 : 354030634X
ISBN 13 : 9783540306344
Ancien ou d'occasion
Couverture rigide
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Hardcover. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA704354030634X5
Acheter D'occasion
EUR 199,26
Frais de port :
EUR 28,45
De Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)