Artificial Neural Networks - ICANN 2008 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I /

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...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Kůrková, Véra (Επιμελητής έκδοσης), Neruda, Roman (Επιμελητής έκδοσης), Koutník, Jan (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Σειρά:Lecture Notes in Computer Science, 5163
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Artificial Neural Networks - ICANN 2008  |h [electronic resource] :  |b 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I /  |c edited by Véra Kůrková, Roman Neruda, Jan Koutník. 
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490 1 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 5163 
505 0 |a 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 -- Image Processing -- Image Processing – Recognition Systems. 
520 |a 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. 
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