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Titlebook: Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control; Maria Carmo Nicoletti,Lakhmi C. Jain Book 2009 Sp

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發(fā)表于 2025-3-25 03:41:48 | 只看該作者
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發(fā)表于 2025-3-25 09:48:10 | 只看該作者
Multiobjective Genetic Algorithms for the Optimisation of Wastewater Treatment Processes, optimisation and comparison of WWTP control laws. This chapter presents a methodology developed for this efficient combination. Existing models and simulation software are used. They are combined with NSGA-II, a multiobjective genetic algorithm capable of finding the best tradeoffs (Pareto front) a
23#
發(fā)表于 2025-3-25 11:46:52 | 只看該作者
Data Reconciliation Using Neural Networks for the Determination of KLa, bioreactors and their mixing devices as well as being an important scale-up factor. In submerged fermentations, four methods are available to estimate the overall oxygen mass transfer coefficient (K.a): the dynamic method, the stationary method based on a previous determination of the oxygen uptake
24#
發(fā)表于 2025-3-25 15:54:04 | 只看該作者
A Computational Intelligent Based Approach for the Development of a Minimal Defined Medium: Applicaan interleukin-3 (rHuIL-3) by .. Starvation trials were carried out initially to narrow down the number of probable essential amino acids from an initial number of twenty to eight. Then a screening mixture experiment was designed and performed with the eight identified amino acids and distance-based
25#
發(fā)表于 2025-3-25 21:47:07 | 只看該作者
Bioprocess Modelling for Learning Model Predictive Control (L-MPC),sensitivity to disturbances occurring between batches and within batches. In order to ensure consistent product quality by eliminating the influence of process disturbances it is very important to consider implementation of monitoring and control and thereby significantly improve the economic impact
26#
發(fā)表于 2025-3-26 00:44:11 | 只看該作者
Performance Monitoring and Batch to Batch Control of Biotechnological Processes,statistical data analysis and multivariate statistical process control (MSPC) or better termed multivariate statistical process performance monitoring (MSPM). An industrial application is described to the interrogation of data from a reaction vessel producing an active pharmaceutical ingredient (API
27#
發(fā)表于 2025-3-26 05:28:03 | 只看該作者
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發(fā)表于 2025-3-26 09:18:11 | 只看該作者
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發(fā)表于 2025-3-26 16:23:07 | 只看該作者
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發(fā)表于 2025-3-26 20:04:22 | 只看該作者
Store Performance Optimization Strategy, addition to the high costs associated with these measuring devices, their reliability can be poor when applied to large-scale systems. It is still the case that most industrial bioprocess control policies are based upon the use of infrequent off-line assay information for process operator supervisi
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