Hybrid Neural Network and Expert Systems
By: by Larry R. Medsker
Publisher: Springer US; Imprint; Springer
Published: 1994
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 256
ISBN-13: 9781461527268
Description: <Em>Hybrid Neural Network and Expert Systems</em> 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. <br/> 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. <br/> <em>Hybrid Neural Network and Expert Systems</em> 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. <br/>