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003			OSt
005			20220602020443.0
008			220602b |||||||| |||| 00| 0 eng d
020			_a9783642018886
040			_c0
041			_aeng
082			_a006.3 NIC
092			_20
245			_aComputational intelligence techniques for bioprocess modelling, supervision and control _cMaria do Carmo Nicoletti and Lakhmi C. Jain (eds.).
260			_aBerlin _bSpringer _c2009
300			_ax, 341 pages _billustrations _c25 cm
490			_3Studies in computational intelligence, _vv. 218.
505			_aComputational Intelligence Techniques as Tools for Bioprocess Modeling, Optimization, Supervision and Control -- Software Sensors and their Applications in Bioprocess -- Monitoring of Bioprocesses: Mechanistic and Data-Driven Approaches -- Novel Computational Methods for Modeling and Control in Chemical and Biochemical Process Systems -- Computational Intelligence Techniques for Supervision and Diagnostic of Biological Wastewater Treatment Systems -- Multiobjective Genetic Algorithms for the Optimisation of Wastewater Treatment Processes -- Data Reconciliation Using Neural Networks for the Determination of KLa -- A Computational Intelligent Based Approach for the Development of a Minimal Defined Medium: Application to Human Interleukin-3 Production by Streptomyces lividans 66 -- Bioprocess Modelling for Learning Model Predictive Control (L-MPC) -- Monitoring the Performance of Biotechnological Processes -- Modelling of Biotechnological Processes -- an Approach based on Artificial Neural Networks.
520			_a This research book presents the use of computational intelligence paradigms in bioprocess related tasks namely modeling, supervision, monitoring and control, diagnostic, learning and optimization, with applications to several areas. Aimed at researchers, practitioners and graduate students, it will also serve as a text for advanced courses in chemical engineering, bioinformatics and biotechnology, and for computer scientists interested in bioprocesses. Chapters are self-contained and many of them include applications to real-world problems: - Computational Intelligence Techniques as Tools for Bioprocess Modelling, Optimization, Supervision and Control; - Software Sensors and their Applications in Bioprocess; - Monitoring of Bioprocesses: Mechanistic and Data-driven Approaches; - Novel Computational Methods for Modeling and Control in Chemical and Biochemical Process Systems; - Computational Intelligence Techniques for Supervision and Diagnosis of Biological Wastewater Treatment Systems; - Multiobjective Genetic Algorithms for the Optimisation of Wastewater Treatment Processes; - Data Reconciliation using Neural Networks for the Determination of KLa; - A Computational Intelligent Based Approach for the Development of a Minimal Defined Medium: Application to Human Interleukin-3 Production by treptomyces lividans 66; - Bioprocess Modelling for Learning Model Predictive Control (L-MPC); - Performance Monitoring and Batch to Batch Control of Biotechnological Processes; - Modelling of Biotechnological Processes - an Approach based on Artificial Neural Networks
650			_aComputational intelligence.
650			_aBiotechnological process control
650			_aComputational intelligence
843			_aPhotocopy
887			_2CamTech Library
942			_2ddc _cBK _n0
999			_c282 _d282