| Title:
|
COMPUTATIONAL INTELLIGENCE
METHODS AND TECHNIQUES |
| By: |
Leszek Rutkowski |
| Format: |
Paperback |
| List price:
|
£69.99 |
|
We currently do not stock this item, please contact the publisher directly for
further information.
|
|
|
|
|
|
| ISBN 10: |
3642095151 |
| ISBN 13: |
9783642095153 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
19 October, 2010 |
| Edition: |
Softcover reprint of hardcover 1st ed. 2008 |
| Pages: |
514 |
| Description: |
This brilliant new book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. These techniques are applied to issues of artificial intelligence, for example in the processing of speech and natural language, and in building expert systems and robots. |
| Synopsis: |
This quite simply superb book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. These techniques are today commonly applied to issues of artificial intelligence. The book presents methods of knowledge representation using different techniques, namely the rough sets, type-1 fuzzy sets and type-2 fuzzy sets. Next up, various neural network architectures are presented and their learning algorithms are derived. Then, the family of evolutionary algorithms is discussed, including connections between these techniques and neural networks and fuzzy systems. Finally, various methods of data partitioning and algorithms of automatic data clustering are given and new neuro-fuzzy architectures are studied and compared. |
| Illustrations: |
122 Tables, black and white; 242 Illustrations, black and white; XIV, 514 |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |