標(biāo)題: Titlebook: Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control; Maria Carmo Nicoletti,Lakhmi C. Jain Book 2009 Sp [打印本頁] 作者: 小故障 時(shí)間: 2025-3-21 16:52
書目名稱Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control影響因子(影響力)
書目名稱Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control影響因子(影響力)學(xué)科排名
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書目名稱Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control被引頻次
書目名稱Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control被引頻次學(xué)科排名
書目名稱Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control年度引用
書目名稱Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control年度引用學(xué)科排名
書目名稱Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control讀者反饋
書目名稱Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control讀者反饋學(xué)科排名
作者: 放牧 時(shí)間: 2025-3-21 23:22
978-3-642-42486-1Springer-Verlag Berlin Heidelberg 2009作者: 率直 時(shí)間: 2025-3-22 03:25 作者: Lethargic 時(shí)間: 2025-3-22 08:38 作者: 松果 時(shí)間: 2025-3-22 11:26 作者: 沒有準(zhǔn)備 時(shí)間: 2025-3-22 13:20 作者: 沒有準(zhǔn)備 時(shí)間: 2025-3-22 19:08 作者: Inertia 時(shí)間: 2025-3-22 22:49 作者: thwart 時(shí)間: 2025-3-23 05:22
Guolin Ma,Shufan Wen,Yun Huang,Yubin Zhoue first part of the chapter a theoretical framework for estimation of general process kinetic rates based on Artificial Neural Network (ANN) models is introduced. Two scenarios are considered: i) Partly known (measured) process states and completely known kinetic parameters; ii) Partly known process作者: 使痛苦 時(shí)間: 2025-3-23 09:30 作者: Biguanides 時(shí)間: 2025-3-23 11:49 作者: Allege 時(shí)間: 2025-3-23 14:51 作者: BILE 時(shí)間: 2025-3-23 18:10 作者: intrude 時(shí)間: 2025-3-24 00:07
Alexis Bavencoffe,Michael Xi Zhusensitivity 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作者: 碳水化合物 時(shí)間: 2025-3-24 05:14 作者: Cervical-Spine 時(shí)間: 2025-3-24 09:55
Roberto Davalli,Giovanni Lo Scoccoareas to access the potential of Artificial Neural Networks (ANNs) for this task. The FerMoANN is tested and validated using two fermentation processes, an . recombinant protein production and the production of a secreted protein with . in fed-batch reactors. The application to these two case studie作者: Lice692 時(shí)間: 2025-3-24 11:17 作者: VEIL 時(shí)間: 2025-3-24 15:35 作者: Mammal 時(shí)間: 2025-3-24 21:41
Monitoring of Bioprocesses: Mechanistic and Data-Driven Approaches,onent concentrations are of great importance for monitoring cell cultures. Although some hardware sensors are readily available, they often have several drawbacks, including purchase and maintenance costs, sample destruction, discrete-time measurements (instead of continuous ones), processing delay,作者: floodgate 時(shí)間: 2025-3-24 23:53 作者: flavonoids 時(shí)間: 2025-3-25 03:41 作者: cloture 時(shí)間: 2025-3-25 09:48
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作者: Benzodiazepines 時(shí)間: 2025-3-25 11:46
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作者: Bouquet 時(shí)間: 2025-3-25 15:54
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作者: GLARE 時(shí)間: 2025-3-25 21:47
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作者: 膽小懦夫 時(shí)間: 2025-3-26 00:44
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作者: 公共汽車 時(shí)間: 2025-3-26 05:28 作者: FAWN 時(shí)間: 2025-3-26 09:18 作者: coalition 時(shí)間: 2025-3-26 16:23 作者: troponins 時(shí)間: 2025-3-26 20:04
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作者: 廚房里面 時(shí)間: 2025-3-26 22:53
,Drivers of Uncertainty — Empirical Results,ed and a dynamic model of the bioprocess can be established and (b) only basic operating signals, such as pH, base addition, stirrer speed, feed rates, can be measured on-line and it is difficult (or even impossible) to build a mechanistic model linking these variables. In the latter case, a neural 作者: 可行 時(shí)間: 2025-3-27 05:01 作者: Asymptomatic 時(shí)間: 2025-3-27 06:36 作者: 難理解 時(shí)間: 2025-3-27 13:01
Lorenzo Marri-Malacrida,Emiliano Panconesig the information obtained from current and previous batches. The control policy updating is calculated using a model linearized around a reference batch. In order to cope with process variations and disturbances, the reference batch can be taken as the immediate previous batch. After each batch, th作者: anticipate 時(shí)間: 2025-3-27 17:33
Software Sensors and Their Applications in Bioprocess, 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作者: Indict 時(shí)間: 2025-3-27 20:24
Monitoring of Bioprocesses: Mechanistic and Data-Driven Approaches,ed and a dynamic model of the bioprocess can be established and (b) only basic operating signals, such as pH, base addition, stirrer speed, feed rates, can be measured on-line and it is difficult (or even impossible) to build a mechanistic model linking these variables. In the latter case, a neural 作者: Accomplish 時(shí)間: 2025-3-27 22:37
Computational Intelligence Techniques for Supervision and Diagnosis of Biological Wastewater Treatmbtained from operational difficulties of one wastewater treatment plant cannot be easily generalized to another..Recent increased regulation over discharge of nutrients to receiving waterways, associated with operational difficulties of wastewater treatment plants, resulted in an increased need for 作者: 返老還童 時(shí)間: 2025-3-28 03:43
Data Reconciliation Using Neural Networks for the Determination of KLa,work which has been previously trained to predict K.a from the series of oxygen conservation models. Results obtained with this new approach show that K.a can be predicted rapidly and gives values that are equivalent to those obtained with the conventional data reconciliation algorithm.作者: Kinetic 時(shí)間: 2025-3-28 09:22
Performance Monitoring and Batch to Batch Control of Biotechnological Processes,g the information obtained from current and previous batches. The control policy updating is calculated using a model linearized around a reference batch. In order to cope with process variations and disturbances, the reference batch can be taken as the immediate previous batch. After each batch, th作者: 錯(cuò) 時(shí)間: 2025-3-28 14:30 作者: Cloudburst 時(shí)間: 2025-3-28 15:53
Book 2009I area, Biop- cess can be considered a vast application area with a growing number of complex and challenging tasks to be dealt with, whose solutions can contribute to boosting the development of new intelligent techniques as well as to help the refinement and s- cialization of many of the already e作者: Ondines-curse 時(shí)間: 2025-3-28 20:33 作者: ARBOR 時(shí)間: 2025-3-29 01:10 作者: Homocystinuria 時(shí)間: 2025-3-29 07:06 作者: 使厭惡 時(shí)間: 2025-3-29 08:46 作者: 橫截,橫斷 時(shí)間: 2025-3-29 11:25
Computational Intelligence Techniques as Tools for Bioprocess Modelling, Optimization, Supervision g view of the main tendencies in this field is to provide a broad panorama of the research in the intersection between the two areas, to highlight the popularity of a few CI techniques in Bioprocess applications and to discuss the potential benefits that other not so explored CI techniques could offer.作者: antidote 時(shí)間: 2025-3-29 17:35
