Fr. 70.00

Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003, m. 2 Buch - Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings

English · Paperback / Softback

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Description

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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.

List of contents

Learning Algorithms.- SVM and Kernel Methods.- Statistical Data Analysis.- Pattern Recognition.- Vision.- Speech Recognition.- Robotics and Control.- Signal Processing.- Time-Series Prediction.- Intelligent and Hybrid Systems.- Neural Network Hardware.- Cognitive Science.- Computational Neuroscience.- Special Sessions.- Complex-Valued Neural Networks: Theories and Applications.- Computational Intelligence and Applications.- Emotional Recognition.- Neural Networks for Bio-informatics Applications.

About the author

ERKKI OJA is professor at the Neural Networks Research Center of Helsinki University of Technology in Finland.§

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.

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