Soft Computing in Case Based Reasoning
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Beschreibung
Soft Computing in Case Based Reasoning demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning for real-life decision-making or recognition problems.
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.
No other book covers this particular aspect of CBR; reported articles and related references are scarce so a comprehensive overview in one volume is timely Introduces the basic concepts and theories Includes extensive and exhaustive reports of real-life applications
Autor*in
Sankar Kumar Pal
Themen in »Soft Computing in Case Based Reasoning«
artificial intelligence artificial neural network case-based reasoning data mining expert system fuzzy logic fuzzy sets genetic algorithms genetics heuristics intelligence learning memory neural networks pattern recognition