Hybrid Neural Network and Expert Systems

Preface. Part I: Fundamentals of Hybrid Systems. 1. Overview of Neural and Symbolic Systems. 2. Research in Hybrid Neural and Symbolic Systems. 3. Models for Integrating Systems. Part II: Case Studies of Hybrid Neural Network and Expert Systems. 4. LAM Hybrid System for Window Glazing Design. 5. Hybrid Systems Approach to Nuclear Plant Monitoring. 6. Chemical Tank Control System. 7. Image Interpretation via Fusion of Heterogeneous Sources using a Hybrid Expert-Neural Network System. 8. Hybrid Systems for Multiple Target Recognition. Part III: Analysis and Guidelines. 9. Guidelines for Developing Hybrid Systems. 10. Tools and Development Systems. 11. Summary and the Future of Hybrid Neural Network and Expert Systems. References. Index.

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