Hybrid Neural Network and Expert Systems (Hardcover, 1994 ed.)

Hybrid Neural Network and Expert Systems presents the basics of expert systems and neural networks, and the important characteristics relevant to the integration of these two technologies. Through case studies of actual working systems, the author demonstrates the use of these hybrid systems in practical situations. Guidelines and models are described to help those who want to develop their own hybrid systems. Neural networks and expert systems together represent two major aspects of human intelligence and therefore are appropriate for integration. Neural networks represent the visual, pattern-recognition types of intelligence, while expert systems represent the logical, reasoning processes. Together, these technologies allow applications to be developed that are more powerful than when each technique is used individually. Hybrid Neural Network and Expert Systems provides frameworks for understanding how the combination of neural networks and expert systems can produce useful hybrid systems, and illustrates the issues and opportunities in this dynamic field.

General

Imprint:	Springer
Country of origin:	Netherlands
Release date:	2001
First published:	1994
Authors:	Larry R. Medsker
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Hardcover
Pages:	240
Edition:	1994 ed.
ISBN-13:	978-0-7923-9423-5
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	0-7923-9423-2
Barcode:	9780792394235

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