neural networks in bioprocessing and chemical engineering

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Neural Networks In Bioprocessing And Chemical Engineering

Author : D. R. Baughman
ISBN : 9781483295657
Genre : Computers
File Size : 65. 39 MB
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Neural networks have received a great deal of attention among scientists and engineers. In chemical engineering, neural computing has moved from pioneering projects toward mainstream industrial applications. This book introduces the fundamental principles of neural computing, and is the first to focus on its practical applications in bioprocessing and chemical engineering. Examples, problems, and 10 detailed case studies demonstrate how to develop, train, and apply neural networks. A disk containing input data files for all illustrative examples, case studies, and practice problems provides the opportunity for hands-on experience. An important goal of the book is to help the student or practitioner learn and implement neural networks quickly and inexpensively using commercially available, PC-based software tools. Detailed network specifications and training procedures are included for all neural network examples discussed in the book. Each chapter contains an introduction, chapter summary, references to further reading, practice problems, and a section on nomenclature Includes a PC-compatible disk containing input data files for examples, case studies, and practice problems Presents 10 detailed case studies Contains an extensive glossary, explaining terminology used in neural network applications in science and engineering Provides examples, problems, and ten detailed case studies of neural computing applications, including: Process fault-diagnosis of a chemical reactor Leonard Kramer fault-classification problem Process fault-diagnosis for an unsteady-state continuous stirred-tank reactor system Classification of protein secondary-structure categories Quantitative prediction and regression analysis of complex chemical kinetics Software-based sensors for quantitative predictions of product compositions from flourescent spectra in bioprocessing Quality control and optimization of an autoclave curing process for manufacturing composite materials Predictive modeling of an experimental batch fermentation process Supervisory control of the Tennessee Eastman plantwide control problem Predictive modeling and optimal design of extractive bioseparation in aqueous two-phase systems

Encyclopaedia Of Neural Networks In Bioprocessing And Chemical Engineering 4 Volumes

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ISBN : 1781545391
Genre :
File Size : 26. 46 MB
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Step Growth Polymerization Process Modeling And Product Design

Author : Kevin Seavey
ISBN : 0470292490
Genre : Technology & Engineering
File Size : 36. 68 MB
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Understand quantitative model step-growth polymerization plans and how to predict properties of the product polymer with the essential information in Step-Growth Polymerization Process Modeling and Product Design. If you want to learn how to simulate step-growth polymerization processes using commercial software and seek an in-depth, quantitative understanding of how to develop, use, and deploy these simulations, consult this must-have guide. The book focuses on quantitative relationships between key process input variables (KPIVs) and key process output variables (KPOVs), and the integrated modeling of an entire polymer manufacturing train.

Computational Intelligence Techniques For Bioprocess Modelling Supervision And Control

Author : Maria Carmo Nicoletti
ISBN : 9783642018886
Genre : Mathematics
File Size : 50. 58 MB
Format : PDF
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Computational Intelligence (CI) and Bioprocess are well-established research areas which have much to offer each other. Under the perspective of the CI 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 existing techniques. Under the perspective of the Bioprocess area, CI can be considered a useful repertoire of theories, methods and techniques that can contribute and offer interesting alternative approaches for solving many of its problems, particularly those hard to solve using conventional techniques. Although throughout the past years CI and Bioprocess areas have accumulated substantial specific knowledge and progress has been quick and with a high degree of success, we believe there is still a long way to go in order to use the potentialities of the available CI techniques and knowledge at their full extent, as tools for supporting problem solving in bioprocesses. One of the reasons is the fact that both areas have progressed steadily and have been continuously accumulating and refining specific knowledge; another reason is the high level of technical expertise demanded by each of them. The acquisition of technical skills, experience and good insights in either of the two areas is very demanding and a hard task to be accomplished by any professional.

Refinery Engineering

Author : Ai-Fu Chang
ISBN : 9783527666850
Genre : Technology & Engineering
File Size : 85. 7 MB
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A pioneering and comprehensive introduction to the complex subject of integrated refinery process simulation, using many of the tools and techniques currently employed in modern refineries. Adopting a systematic and practical approach, the authors include the theory, case studies and hands-on workshops, explaining how to work with real data. As a result, senior-level undergraduate and graduate students, as well as industrial engineers learn how to develop and use the latest computer models for the predictive modeling and optimization of integrated refinery processes. Additional material is available online providing relevant spreadsheets and simulation files for all the models and examples presented in the book.

Computer And Information Science Applications In Bioprocess Engineering

Author : A.R. Moreira
ISBN : 9789400901773
Genre : Science
File Size : 48. 53 MB
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Biotechnology has been labelled as one of the key technologies of the last two decades of the 20th Century, offering boundless solutions to problems ranging from food and agricultural production to pharmaceutical and medical applications, as well as environmental and bioremediation problems. Biological processes, however, are complex and the prevailing mechanisms are either unknown or poorly understood. This means that adequate techniques for data acquisition and analysis, leading to appropriate modeling and simulation packages that can be superimposed on the engineering principles, need to be routine tools for future biotechnologists. The present volume presents a masterly summary of the most recent work in the field, covering: instrumentation systems; enzyme technology; environmental biotechnology; food applications; and metabolic engineering.

Handbook Of Food And Bioprocess Modeling Techniques

Author : Shyam S. Sablani
ISBN : 9781420015072
Genre : Technology & Engineering
File Size : 54. 56 MB
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With the advancement of computers, the use of modeling to reduce time and expense, and improve process optimization, predictive capability, process automation, and control possibilities, is now an integral part of food science and engineering. New technology and ease of use expands the range of techniques that scientists and researchers have at their disposal making it increasingly important for the user to be aware of and have a good working knowledge of the alternatives. Unique in its scope, the Handbook of Food and Bioprocess Modeling Techniques provides a comprehensive overview of the modeling options available to today’s researcher. The book covers a wide range of topics including transport processes, reaction kinetics, probabilistic modeling, data mining, neural network and genetic algorithms. Both mesoscale and macroscale modeling are covered. Each chapter is complete with a clear, succinct description of a specific modeling technique, followed by detailed examples of the utilization, application, benefits, and limitations of the technique described. By having both physics-based and observation-based models explained in one place, the researcher can find not only the most appropriate tool or combination of tools for the application, but also those that best suit the technical expertise of the personnel involved. The book emphasizes problem formulation and explains the choice and structure of the modeling technique from an application point of view, making it exceedingly practical and easy-to-use. The international panel of authors and contributors ensures the quality of the individual chapters and the usefulness of the information across wide-ranging food products and processes. An indispensable resource for the full range of contemporary modeling techniques, the Handbook of Food and Bioprocess Modeling Techniques provides food and bioprocess researchers in industry and academia with an invaluable comprehensive working reference.

Hybrid Modeling In Process Industries

Author : Jarka Glassey
ISBN : 9781351184366
Genre : Science
File Size : 64. 64 MB
Format : PDF
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This title introduces the underlying theory and demonstrates practical applications in different process industries using hybrid modeling. The fundamental part covers questions on “How to develop a hybrid model?”, “How to represent and identify unknown parts?”, “How to enhance the model quality by design of experiments?” and “How to compare different hybrid models?” together with tips and good practices for the efficient development of high quality hybrid models. The application part covers the utilization of hybrid modeling for typical process operation and design applications in industries such as chemical, petrochemical, biochemical, food and pharmaceutical process engineering.

Computer Applications In Biotechnology 2004

Author : Marie-Noelle Pons
ISBN : 008044251X
Genre : Technology & Engineering
File Size : 82. 64 MB
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Biochemical Engineering

Author : Shigeo Katoh
ISBN : 9783527685011
Genre : Technology & Engineering
File Size : 38. 95 MB
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Completely revised, updated, and enlarged, this second edition now contains a subchapter on biorecognition assays, plus a chapter on bioprocess control added by the new co-author Jun-ichi Horiuchi, who is one of the leading experts in the field. The central theme of the textbook remains the application of chemical engineering principles to biological processes in general, demonstrating how a chemical engineer would address and solve problems. To create a logical and clear structure, the book is divided into three parts. The first deals with the basic concepts and principles of chemical engineering and can be read by those students with no prior knowledge of chemical engineering. The second part focuses on process aspects, such as heat and mass transfer, bioreactors, and separation methods. Finally, the third section describes practical aspects, including medical device production, downstream operations, and fermenter engineering. More than 40 exemplary solved exercises facilitate understanding of the complex engineering background, while self-study is supported by the inclusion of over 80 exercises at the end of each chapter, which are supplemented by the corresponding solutions. An excellent, comprehensive introduction to the principles of biochemical engineering.

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