Soft Computing in Case Based Reasoning
Sanker K. Pal, Daniel S. Yeung, Tharam S. Dillon
Résumé
Comprising contributions from experts from all over the world, it:
- Provides an introduction to CBR and soft computing, and the relevance of their integration
- Evaluates the strengths and weaknesses of CBR in its current form
- Presents recent developments and significant applications in domains such as data-mining, medical diagnosis, knowledge-based expert systems, banking, and forensic investigation
- Addresses new information on developing intelligent systems
This book will be of particular interest to graduate students and researchers in computer science, electrical engineering and information technology but it will also be of interest to researchers and practitioners in the fields of systems design, pattern recognition and data mining.
Contents:
Preface.
1. A Tutorial on Case-Based Reasoning.-
Fuzzy Sets
2. On the Notion of Similarity in Case-Based Reasoning and
Fuzzy Theory.-
3. Formalizing Case-Based Inference Using Fuzzy
Rules.-
Artificial Neural Networks
4. Hybrid Approaches for Integrating Neural Networks and
Case-Based Reasoning.-
5. Towards Integration of Memory Based Learning and Neural
Networks.-
Genetic Algorithms
6. A Genetic Algorithm and a Growing Cell Structures
Approach to Learning Case Retrieval Structures.-
7. An Architecture for Hybrid Creative Reasoning.-
8. Teacher: A Genetics-Based System for Learning and
Generalizing Heuristics.-
Neuro-Fuzzy Computing
9. Fuzzy Logic-Based Neural Network for Case-Based
Reasoning.-
10. Case-Based Systems: A Neuro-Fuzzy Method for Selecting
Cases.-
11. Neural-Fuzzy Approach for Maintaining Case
Bases.-
12. A Neuro-Fuzzy Methodology for Case Retrieval and an
Object-Oriented Case-Schema for Structuring Case Bases and
their Application to Fashion Footwear Design.-
Applications
13. Adaptation of Cases for Case-Based Forecasting with
Neural Network Support.-
14. Armchair Mission to Mars: Using Case Based Reasoning
and Fuzzy Logic to Simulate a Time Series Model of
Astronaut Crew.-
15. Applications of Soft CBR at General Electric.
L'auteur - Sanker K. Pal
Sankar K Pal : Indian Statistical Institute, Calcutta, India
L'auteur - Daniel S. Yeung
The Hong Kong Polytechnic University, Hong Kong, China
L'auteur - Tharam S. Dillon
LaTrobe University, Melbourne, VIC, Australia
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Springer |
| Auteur(s) | Sanker K. Pal, Daniel S. Yeung, Tharam S. Dillon |
| Parution | 01/10/2000 |
| Nb. de pages | 369 |
| Format | 15,5 x 23,5 |
| Couverture | Broché |
| Poids | 597g |
| Intérieur | Noir et Blanc |
| EAN13 | 9781852332624 |
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