Soft computing in case based reasoning
著者
書誌事項
Soft computing in case based reasoning
Springer, c2001
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This text demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning, that is, for real-life decision-making or recognition problems. Comprising contributions from experts, it introduces the basic concepts and theories, and includes many reports on real-life applications. This book is of interest to graduate students and researchers in computer science, electrical engineering and information technology, as well as researchers and practitioners from the fields of systems design, pattern recognition and data mining.
目次
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.
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