ISBN: 9783642067921 - modelling and optimization of biotechnological processes: artificial intelligence approaches: 15 (2 risultati)

Perfeziona la tua ricerca

  • Libri (2)

a

Fascia di prezzo personalizzata (EUR)

a

  • Lingua: Inglese

    Editore: J.B. Metzler, 2010

    3642067921 / 9783642067921

    • Brossura

    Da: Buchpark, Trebbin, GermaniaBuchpark

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Usato - Ottimo

    EUR 91,33

    EUR 105,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.…

  • Condizione: Usato - Come nuovo

    EUR 220,26

    EUR 29,87 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.