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Artificial Neural Networks-ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings Part I 2008 Edition
Contributor(s): Koutnik, Jan (Editor), Kurkova-Pohlova, Vera (Editor), Neruda, Roman (Editor)
ISBN: 3540875352     ISBN-13: 9783540875352
Publisher: Springer
OUR PRICE:   $179.55  
Product Type: Paperback - Other Formats
Published: August 2008
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Annotation: This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008.

The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume contains papers on mathematical theory of neurocomputing, learning algorithms, kernel methods, statistical learning and ensemble techniques, support vector machines, reinforcement learning, evolutionary computing, hybrid systems, self-organization, control and robotics, signal and time series processing and image processing.

Additional Information
BISAC Categories:
- Medical | Neuroscience
- Computers | Computer Science
- Computers | Information Technology
Dewey: 004.015
Series: Lecture Notes in Computer Science
Physical Information: 1.4" H x 6.1" W x 9.1" (2.65 lbs) 1026 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume contains papers on mathematical theory of neurocomputing, learning algorithms, kernel methods, statistical learning and ensemble techniques, support vector machines, reinforcement learning, evolutionary computing, hybrid systems, self-organization, control and robotics, signal and time series processing and image processing.