Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 [electronic resource] : Joint International Conference ICANN/ICONIP 2003 Istanbul, Turkey, June 26–29, 2003 Proceedings /

This book constitutes the refereed proceedings of the joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003. The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.

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Bibliographic Details
Main Authors: Kaynak, Okyay. editor., Alpaydin, Ethem. editor., Oja, Erkki. editor., Xu, Lei. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2003
Subjects:Computer science., Science., Computer communication systems., Special purpose computers., Computers., Database management., Artificial intelligence., Computer Science., Computation by Abstract Devices., Science, general., Computer Communication Networks., Special Purpose and Application-Based Systems., Database Management., Artificial Intelligence (incl. Robotics).,
Online Access:http://dx.doi.org/10.1007/3-540-44989-2
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Summary:This book constitutes the refereed proceedings of the joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003. The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.