Cover for Artificial Intelligence in Chemical Engineering

Artificial Intelligence in Chemical Engineering

Book1992

Authors:

Thomas E. Quantrille and Y.A. liu

Artificial Intelligence in Chemical Engineering

Book1992

 

Cover for Artificial Intelligence in Chemical Engineering

Authors:

Thomas E. Quantrille and Y.A. liu

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Book description

Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intellige ... read full description

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  2. Book chapterNo access

    APPENDIX A - AMERICAN STANDARD CODE FOR INFORMATION INTERCHANGE (ASCII)

    Pages 489-492

  3. Book chapterNo access

    APPENDIX B - EXSEP PROGRAM LISTING WITH COMMENTS

    Pages 493-541

  4. Book chapterNo access

    APPENDIX C - GLOSSARY OF TERMS

    Pages 543-557

  5. Book chapterNo access

    APPENDIX D - ANSWERS TO SELECTED EXERCISES AND PRACTICE PROBLEMS

    Pages 559-593

  6. Book chapterNo access

    Subject Index

    Pages 595-609

About the book

Description

Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intelligence in human behavior). This book is the first published textbook of AI in chemical engineering, and provides broad and in-depth coverage of AI programming, AI principles, expert systems, and neural networks in chemical engineering. This book introduces the computational means and methodologies that are used to enable computers to perform intelligent engineering tasks. A key goal is to move beyond the principles of AI into its applications in chemical engineering. After reading this book, a chemical engineer will have a firm grounding in AI, know what chemical engineering applications of AI exist today, and understand the current challenges facing AI in engineering.

Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intelligence in human behavior). This book is the first published textbook of AI in chemical engineering, and provides broad and in-depth coverage of AI programming, AI principles, expert systems, and neural networks in chemical engineering. This book introduces the computational means and methodologies that are used to enable computers to perform intelligent engineering tasks. A key goal is to move beyond the principles of AI into its applications in chemical engineering. After reading this book, a chemical engineer will have a firm grounding in AI, know what chemical engineering applications of AI exist today, and understand the current challenges facing AI in engineering.

Key Features

  • Allows the reader to learn AI quickly using inexpensive personal computers
  • Contains a large number of illustrative examples, simple exercises, and complex practice problems and solutions
  • Includes a computer diskette for an illustrated case study
  • Demonstrates an expert system for separation synthesis (EXSEP)
  • Presents a detailed review of published literature on expert systems and neural networks in chemical engineering
  • Allows the reader to learn AI quickly using inexpensive personal computers
  • Contains a large number of illustrative examples, simple exercises, and complex practice problems and solutions
  • Includes a computer diskette for an illustrated case study
  • Demonstrates an expert system for separation synthesis (EXSEP)
  • Presents a detailed review of published literature on expert systems and neural networks in chemical engineering

Details

ISBN

978-0-12-569550-3

Language

English

Published

1992

Copyright

Copyright © 1992 Elsevier Inc. All rights reserved.

Imprint

Academic Press

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Authors

Thomas E. Quantrille

Department of Chemical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA

Y.A. liu

Department of Chemical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA