โ Scribed by Larry R. Medsker (auth.)
No coin nor oath required. For personal study only.
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.
Front Matter....Pages i-xii
Front Matter....Pages 1-1
Overview of Neural and Symbolic Systems....Pages 3-20
Research in Hybrid Neural and Symbolic Systems....Pages 21-33
Models for Integrating Systems....Pages 35-46
Front Matter....Pages 47-47
LAM tm Hybrid System for Window Glazing Design....Pages 49-75
Hybrid System Approach to Nuclear Plant Monitoring....Pages 77-108
Chemical Tank Control System....Pages 109-119
Image Interpretation Via Fusion of Heterogeneous Sources Using a Hybrid Expert-Neural Network System....Pages 121-138
Hybrid System for Multiple Target Recognition....Pages 139-179
Front Matter....Pages 181-181
Guidelines for Developing Hybrid Systems....Pages 183-202
Tools and Development Systems....Pages 203-213
Summary and the Future of Hybrid Neural Network and Expert Systems....Pages 215-221
Back Matter....Pages 223-240
Artificial Intelligence (incl. Robotics);Statistical Physics, Dynamical Systems and Complexity;Systems Theory, Control
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