9780125695503-0125695500-Artificial Intelligence in Chemical Engineering

Artificial Intelligence in Chemical Engineering

ISBN-13: 9780125695503
ISBN-10: 0125695500
Author: Y. A. Liu, Thomas E. Quantrille
Publication date: 1992
Publisher: Academic Press
Format: Hardcover 593 pages
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Book details

ISBN-13: 9780125695503
ISBN-10: 0125695500
Author: Y. A. Liu, Thomas E. Quantrille
Publication date: 1992
Publisher: Academic Press
Format: Hardcover 593 pages

Summary

Artificial Intelligence in Chemical Engineering (ISBN-13: 9780125695503 and ISBN-10: 0125695500), written by authors Y. A. Liu, Thomas E. Quantrille, was published by Academic Press in 1992. With an overall rating of 3.9 stars, it's a notable title among other books. You can easily purchase or rent Artificial Intelligence in Chemical Engineering (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

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.

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

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