| The Handbook of Applied Expert Systems Contributor(s): Liebowitz, Jay (Editor) |
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ISBN: 0849331064 ISBN-13: 9780849331060 Publisher: CRC Press OUR PRICE: $275.50 Product Type: Hardcover - Other Formats Published: December 1997 Annotation: The Handbook of Applied Expert Systems is a landmark work dedicated solely to this rapidly advancing area of study. Edited by Jay Liebowitz, a professor, author, and consultant known around the world for his work in the field, this authoritative source covers the latest expert system technologies, applications, methodologies, and practices. The book features contributions from more than 40 of the world's foremost expert systems authorities in industry, government, and academia. The Handbook is organized into two major sections. The first section explains expert systems technologies while the second section focuses on applied examples in a wide variety of industries. Key topics covered include fuzzy systems, genetic algorithm development, machine learning, knowledge representation, and much more. |
| Additional Information |
| BISAC Categories: - Computers | Expert Systems - Computers | Intelligence (ai) & Semantics - Computers | Information Technology |
| Dewey: 006.33 |
| LCCN: 97013424 |
| Physical Information: 1.67" H x 7.29" W x 10.21" (3.25 lbs) 736 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The Handbook of Applied Expert Systems is a landmark work dedicated solely to this rapidly advancing area of study. Edited by Jay Liebowitz, a professor, author, and consultant known around the world for his work in the field, this authoritative source covers the latest expert system technologies, applications, methodologies, and practices. The book features contributions from more than 40 of the world's foremost expert systems authorities in industry, government, and academia. The Handbook is organized into two major sections. The first section explains expert systems technologies while the second section focuses on applied examples in a wide variety of industries. Key topics covered include fuzzy systems, genetic algorithm development, machine learning, knowledge representation, and much more. |