Advances in Computational Intelligence and Learning: Methods and Applications 2002 Edition Contributor(s): Zimmermann, Hans-Jürgen (Editor), Tselentis, Georgios (Editor), Van Someren, Maarten (Editor) |
|
![]() |
ISBN: 0792376455 ISBN-13: 9780792376453 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: January 2002 Annotation: Advances in Computational Intelligence and Learning: Methods and Applications presents new developments and applications in the area of Computational Intelligence, which essentially describes methods and approaches that mimic biologically intelligent behavior in order to solve problems that have been difficult to solve by classical mathematics. Generally Fuzzy Technology, Artificial Neural Nets and Evolutionary Computing are considered to be such approaches. The Editors have assembled new contributions in the areas of fuzzy sets, neural sets and machine learning, as well as combinations of them (so called hybrid methods) in the first part of the book. The second part of the book is dedicated to applications in the areas that are considered to be most relevant to Computational Intelligence. |
Additional Information |
BISAC Categories: - Computers | Intelligence (ai) & Semantics - Mathematics - Medical |
Dewey: 006.3 |
LCCN: 2001057973 |
Series: International Intelligent Technologies |
Physical Information: 1.13" H x 6.48" W x 9.56" (1.93 lbs) 515 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Advances in Computational Intelligence and Learning: Methods and Applications presents new developments and applications in the area of Computational Intelligence, which essentially describes methods and approaches that mimic biologically intelligent behavior in order to solve problems that have been difficult to solve by classical mathematics. Generally Fuzzy Technology, Artificial Neural Nets and Evolutionary Computing are considered to be such approaches. The Editors have assembled new contributions in the areas of fuzzy sets, neural sets and machine learning, as well as combinations of them (so called hybrid methods) in the first part of the book. The second part of the book is dedicated to applications in the areas that are considered to be most relevant to Computational Intelligence. |