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Preface | ||
Pt. I | Fundamentals of Hybrid Systems | 1 |
Ch. 1 | Overview of Neural and Symbolic Systems | 3 |
Ch. 2 | Research in Hybrid Neural and Symbolic Systems | 21 |
Ch. 3 | Models for Integrating Systems | 35 |
Pt. II | Case Studies of Hybrid Neural Network and Expert Systems | 47 |
Ch. 4 | LAM Hybrid System for Window Glazing Design | 49 |
Ch. 5 | Hybrid Systems Approach to Nuclear Plant Monitoring | 77 |
Ch. 6 | Chemical Tank Control System | 109 |
Ch. 7 | Image Interpretation Via Fusion of Heterogeneous Sources Using a Hybrid Expert-Neural Network System | 121 |
Ch. 8 | Hybrid System for Multiple Target Recognition | 139 |
Pt. III | Analysis and Guidelines | 181 |
Ch. 9 | Guidelines for Developing Hybrid Systems | 183 |
Ch. 10 | Tools and Development Systems | 203 |
Ch. 11 | Summary and the Future of Hybrid Neural Network and Expert Systems | 215 |
References | 223 | |
Index | 239 |
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