Intelligent Systems in Process Engineering: Paradigms from Design and Operations

Overview

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 has been constructed around an engineering problem, e.g., product design, process design, process operations monitoring, planning, scheduling, or control.

This book contains ten prototypical paradigms which integrate ideas and methodologies from artificial ...

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Overview

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 has been constructed around an engineering problem, e.g., product design, process design, process operations monitoring, planning, scheduling, or control.

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:

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Editorial Reviews

Booknews
Presents ten prototypical paradigms that integrate ideas and methodologies from artificial intelligence with those from operations research, estimation, and control theory, and statistics, to solve a specific engineering problem in product or process design, process operations monitoring, planning, scheduling, or control. Among the paradigms are modeling languages, inductive and deductive reasoning, analogical learning, and reasoning in time. Together they indicate how computer can play an expanded role in a broad range of engineering problems. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780126662405
  • Publisher: Elsevier Science & Technology Books
  • Publication date: 11/27/1995
  • Pages: 625
  • Product dimensions: 5.88 (w) x 8.89 (h) x 1.17 (d)

Table of Contents

Pt. I Product and Process Design
Modeling Languages: Declarative and Imperative Descriptions of Chemical Reactions and Processing Systems 2
Automation in Design: The Conceptual Synthesis of Chemical Processing Schemes 94
Symbolic and Quantitative Reasoning: Design of Reaction Pathways through Recursive Satisfaction of Constraints 148
Inductive and Deductive Reasoning: The Case of Identifying Potential Hazards in Chemical Processes 188
Searching Spaces of Discrete Solutions: The Design of Molecules Possessing Desired Physical Properties 258
Pt. II Process Operations
Nonmonotonic Reasoning: The Synthesis of Operating Procedures in Chemical Plants 314
Inductive and Analogic Learning: Data-Driven Improvement of Process Operations 378
Empirical Learning through Neural Networks: The Wave-Net Solution 438
Reasoning in Time: Modeling, Analysis, and Pattern Recognition of Temporal Process Trends 487
Intelligence in Numerical Computing: Improving Batch Scheduling Algorithms through Explanation-Based Learning 550
Index 611
Contents of Volumes in This Serial 621
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