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Hybrid Neural Network and Expert Systems - Larry R. Medsker

Hybrid Neural Network and Expert Systems

Hardcover

Published: December 2009
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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.

Preface
Fundamentals of Hybrid Systemsp. 1
Overview of Neural and Symbolic Systemsp. 3
Research in Hybrid Neural and Symbolic Systemsp. 21
Models for Integrating Systemsp. 35
Case Studies of Hybrid Neural Network and Expert Systemsp. 47
LAM Hybrid System for Window Glazing Designp. 49
Hybrid Systems Approach to Nuclear Plant Monitoringp. 77
Chemical Tank Control Systemp. 109
Image Interpretation Via Fusion of Heterogeneous Sources Using a Hybrid Expert-Neural Network Systemp. 121
Hybrid System for Multiple Target Recognitionp. 139
Analysis and Guidelinesp. 181
Guidelines for Developing Hybrid Systemsp. 183
Tools and Development Systemsp. 203
Summary and the Future of Hybrid Neural Network and Expert Systemsp. 215
Referencesp. 223
Indexp. 239
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780792394235
ISBN-10: 0792394232
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 240
Published: December 2009
Publisher: Springer
Country of Publication: NL
Dimensions (cm): 23.5 x 15.5  x 1.27
Weight (kg): 1.19