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Artificial Neural Networks - ICANN 2009 : 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I / edited by Cesare Alippi, Marios M. Polycarpou, Christos Panayiotou, Georgios Ellinas.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Alippi, Cesare, editor.
Polycarpou, Marios M., editor.
Panayiotou, Christos, editor.
Ellinas, Georgios, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 5768.
Theoretical Computer Science and General Issues ; 5768
Language:
English
Subjects (All):
Computers.
Artificial intelligence.
Neurosciences.
Pattern perception.
Data mining.
Computer simulation.
Computation by Abstract Devices.
Artificial Intelligence.
Pattern Recognition.
Data Mining and Knowledge Discovery.
Simulation and Modeling.
Local Subjects:
Computation by Abstract Devices.
Artificial Intelligence.
Neurosciences.
Pattern Recognition.
Data Mining and Knowledge Discovery.
Simulation and Modeling.
Physical Description:
1 online resource (XXXIII, 1030 pages).
Edition:
First edition 2009.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
System Details:
text file PDF
Summary:
This two volume set LNCS 5768 and LNCS 5769 constitutes the refereed proceedings of the 19th International Conference on Artificial Neural Networks, ICANN 2009, held in Limassol, Cyprus, in September 2009. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume is divided in topical sections on learning algorithms; computational neuroscience; hardware implementations and embedded systems; self organization; intelligent control and adaptive systems; neural and hybrid architectures; support vector machine; and recurrent neural network.
Contents:
Learning Algorithms
Computational Neuroscience
Hardware Implementations and Embedded Systems
Self Organization
Intelligent Control and Adaptive Systems
Neural and Hybrid Architectures
Support Vector Machine
Recurrent Neural Network.
Other Format:
Printed edition:
ISBN:
978-3-642-04274-4
9783642042744
Access Restriction:
Restricted for use by site license.

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