Modelling and Optimization of Biotechnological Processes
Publication year: 2006
ISBN: 978-3-540-32493-5
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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.
Subject: Engineering, Monitor, algorithm, algorithms, artificial intelligence, computer-aided design (CAD), control, genetic algorithms, intelligence, linear optimization, modeling, networks, neural network, neural networks, optimization, simulation
