Intelligent Systems in Process Engineering
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Language: English
Published by Elsevier, 1995
- Softcover
- Used

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pp. 625.
Seller Inventory # 18456558
- Title
- Intelligent Systems in Process Engineering
- Author
- Stephanopoulos George
- Publisher
- Elsevier
- Publication year
- 1995
- Condition
- Used
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0126662401
- ISBN 13
- 9780126662405
This book contains ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation and control theory, and statistics. Each paradigm hasbeen constructed around an engineering problem, e.g., product design, process design, process operations monitoring, planning, scheduling, or control. Each paradigm also advances a specific methodological theme in AI, such as:
Modeling languages
Automation in design
Symbolic and quantitative reasoning
Inductive and deductive reasoning
Searching spaces of discrete solutions
Nonmonotonic reasoning
Analogical learning
Empirical learning through neural networks
Reasoning in time
Logic in numerical computing
Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge available to be used in solving a broad range of engineering problems.
Sets the foundations for the development of computer-aided tools for solving a number of distinct engineering problems
Exposes the reader to a variety of AI techniques in automatic modeling, searching, reasoning, and learning
Represents the product of a decade of experience in integrating AI into process engineering
Offers expanded and realistic formulations of real-world problems
Modeling languages
Automation in design
Symbolic and quantitative reasoning
Inductive and deductive reasoning
Searching spaces of discrete solutions
Nonmonotonic reasoning
Analogical learning
Empirical learning through neural networks
Reasoning in time
Logic in numerical computing
Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge available to be used in solving a broad range of engineering problems.
Sets the foundations for the development of computer-aided tools for solving a number of distinct engineering problems
Exposes the reader to a variety of AI techniques in automatic modeling, searching, reasoning, and learning
Represents the product of a decade of experience in integrating AI into process engineering
Offers expanded and realistic formulations of real-world problems
"Synopsis" may belong to another edition of this title.
About the Author
Gregory Stephanopoulos is a Professor of Chemical Engineering at MIT. He received his B.S. from the National Technical University of Athens, his M.S. from the University of Florida and his Ph.D. from the University of Minnesota, all in Chemical Engineering. Upon graduation, he joined the Chemical Engineering Faculty of the California Institute of Technology, where he served as Assistant and Associate Professor until 1985. In 1985 he was appointed Professor of Chemical Engineering at MIT where he has been ever since.Stephanopoulos' work has appeared in more than 150 publications and 7 patents. He has been recognized with the Dreyfus Foundation Teacher Scholar Award (1982), Excellence in Teaching Award (1984), and Technical Achievement Award of the AIChE (1984). He has been a Presidential Young Investigator and the Chairman of the Food Pharmaceutical & Bioengineering Division of the American Institute of Chemical Engineers (1992). In 1992 he was a Visiting Professor at the International Research Center for Biotechnology at Osaka University and was elected a Founding Fellow of the American Institute for Medical and Biological Engineering. In 1996 he chaired the first Conference on Metabolic Engineering and gave the inaugural Bayer Lecture on Biochemical Engineering at the University of California at Berkeley. He was honored with the FPBE Division Award at AIChE in 1997.
"About the title" may belong to another edition of this title.
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