| Title:
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SOFT COMPUTING IN CASE BASED REASONING
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| By: |
Sankar K. Pal, Tharam S. Dillon, Daniel S. Yeung |
| Format: |
Paperback |
| List price:
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£72.00 |
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| ISBN 10: |
185233262X |
| ISBN 13: |
9781852332624 |
| Publisher: |
SPRINGER LONDON LTD |
| Pages: |
372 |
| Description: |
This text demonstrates how various soft computing tools can be applied to design and to develop methodologies and systems with case based reasoning for real-life decision-making or recognition problems. This book provides an introduction to such topics as CBR and soft computing. |
| Synopsis: |
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. |
| Illustrations: |
1, black & white illustrations |
| Publication: |
UK |
| Imprint: |
Springer London Ltd |
| Returns: |
Non-returnable |