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

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Material type: Text

TextSeries: Theoretical Computer Science and General Issues ; 5163Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008Edition: 1st ed. 2008Description: XXIX, 1026 p. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783540875369

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

Contents:

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.

In: Springer Nature eBookSummary: 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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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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