Modelling and Optimization of Biotechnological Processes
Language: English
Published by Springer Berlin Heidelberg Nov 2010, 2010
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 92.25
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Add to basketItem description from seller
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.…
Seller Inventory # 9783642067921
- Title
- Modelling and Optimization of Biotechnological Processes
- Author
- Lei Zhi Chen
- Publisher
- Springer Berlin Heidelberg Nov 2010
- Publication year
- 2010
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3642067921
- ISBN 13
- 9783642067921
- Item weight
- 213 grams
- Dimensions
- 235x155x8 mm
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book presents logical approaches to monitoring, modelling and optimization of fed-batch fermentation processes based on artificial intelligence methods, in particular, neural networks and genetic algorithms. Both computer simulation and experimental validation are demonstrated in this book. The approaches proposed in this book can be readily adopted for different processes and control schemes to achieve maximum productivity with minimum development and production costs. These approaches can eliminate the difficulties of having to specify completely the structures and parameters of highly nonlinear bioprocess models.
The book begins with a historical introduction to the field of bioprocess control based on artificial intelligence approaches, followed by two chapters covering the optimization of fed-batch culture using genetic algorithms. Online biomass soft-sensors are constructed in Chapter 4 using recurrent neural networks. The bioprocess is then modelled in Chapter 5 by cascading two soft-sensor neural networks. Optimization and validation of the final product are detailed in Chapters 6 and 7. The general conclusions are drawn in Chapter 8.
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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