Paradigms from product and process design
著者
書誌事項
Paradigms from product and process design
（Advances in chemical engineering / editor-in-chief, James Wei ; editors, John L. Anderson ... [et al.], v. 21 . Intelligent systems in process engineering ; part I）
Academic Press, c1995
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注記
"The index for vol. 21 appears in vol. 22"
内容説明・目次
内容説明
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.
目次
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.
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