Intelligent Systems in Process Engineering, Part I: Paradigms from Product and Process Design
- 1st Edition, Volume 21 - July 20, 2011
- Latest edition
- Editors: Chonghun Han, John L. Anderson, George Stephanopoulos, James Wei, Morton M. Denn, John H. Seinfeld, James Wei
- Language: English
Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from o… Read more
Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling, or control. Along with the engineering problem, each paradigm advances a specific methodological theme from AI, such as: modeling languages; automation in design; symbolic and quantitative reasoning; inductive and deductive reasoning; searching spaces of discrete solutions; non-monotonic reasoning; analogical learning;empirical learning through neural networks; reasoning in time; and logic in numerical computing. Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge that can be articulated and 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
- The product of ten-years experience in integrating AI into process engineering
- Offers expanded and realistic formulations of real-world problems
Academic and industrial researchers in chemical engineering.
C.J. Nagel, C. Han, and G. Stephanopoulos, Modeling Languages: Declarative and Imperative Descriptions of Chemical Reactions and Processing Systems. C. Han, G. Stephanopoulos, and J.M. Douglas, Automation in Design:The Conceptual Synthesis of Chemical Processing Schemes. M.L. Mavrovouniotis, Symbolic and Quantitative Reasoning: Design of Reaction Pathways through Recursive Satisfaction of Constraints. C. Nagel and G. Stephanopoulos, Inductive and Deductive Reasoning: The Case of Identifying Potential Hazards in Chemical Processes. K.G. Joback and G. Stephanopoulos, Searching Spaces of Discrete Solutions: The Design of Molecules Possessing Desired Physical Properties. References.
- Edition: 1
- Latest edition
- Volume: 21
- Published: July 20, 2011
- Language: English
CH
Chonghun Han
Affiliations and expertise
Massachusetts Institute of TechnologyJA
John L. Anderson
Affiliations and expertise
Carnegie Mellon UniversityGS
George Stephanopoulos
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.
Affiliations and expertise
Massachusetts Institute of Technology, Cambridge, U.S.A.JW
James Wei
Affiliations and expertise
Princeton University, New Jersey, U.S.A.MD
Morton M. Denn
Affiliations and expertise
University of California, Berkeley, U.S.A.JS
John H. Seinfeld
Affiliations and expertise
California Institute of Technology, Pasadena, U.S.A.JW
James Wei
Affiliations and expertise
Princeton University, New Jersey, U.S.A.Read Intelligent Systems in Process Engineering, Part I: Paradigms from Product and Process Design on ScienceDirect