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Modelling and Optimization of Biotechnological Processes: Artificial Intelligence Approaches by Lei Zhi Chen, Sing Kiong Nguang, Xiao Dong Chen - Paperback
806.44 AED

Modelling and Optimization of Biotechnological Processes: Artificial Intelligence Approaches by Lei Zhi Chen, Sing Kiong Nguang, Xiao Dong Chen - Paperback

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Category Type
Mathematics
ISBN
9783642067921
Author
Lei Zhi Chen, Sing Kiong Nguang, Xiao Dong Chen
Publisher
Springer
Description:

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 ...

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PRODUCT INFORMATION

  •  

    Specifications

    Category Type
    Mathematics
    ISBN
    9783642067921
    Languages
    English
    Item EAN
    2724437187490
    People
    Author
    Lei Zhi Chen, Sing Kiong Nguang, Xiao Dong Chen
    Category Type
    Mathematics
    ISBN
    9783642067921
    Languages
    English
    Item EAN
    2724437187490
    People
    Author
    Lei Zhi Chen, Sing Kiong Nguang, Xiao Dong Chen
    People
    Publisher
    Springer
    Technical Information
    Binding
    Paperback
    Languages and countries
    Book Language
    English
    Read more
  •  

    Description:

    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

    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 process.

    Product Features:
    • Category: Mathematics
    • Binding: Paperback
    • Language of Text: English
    • Author(s): Lei Zhi Chen, Sing Kiong Nguang, Xiao Dong Chen
    • Publisher: Springer
    • ISBN: 9783642067921
    • Number of Pages: 123
    • Dimensions: 9.21 x 6.14 x 0.28 inches
 

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