Artificial Neural Networks - ICANN 2007 (eBook, PDF)

17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I
Redaktion: Marques de Sá, Joaquim; Mandic, Danilo; Duch, Wlodzislaw; Alexandre, Luis A.

• Format: PDF

Produktbeschreibung

This book is the first of a two-volume set that constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007, held in Porto, Portugal, September 2007. Coverage includes advances in neural network learning methods, advances in neural network architectures, neural dynamics and complex systems, data analysis, evolutionary computing, agents learning, as well as temporal synchronization and nonlinear dynamics in neural networks.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 980
• Erscheinungstermin: 14. September 2007
• Englisch
• ISBN-13: 9783540746904
• Artikelnr.: 44130688

Inhaltsangabe

Learning Theory.- Advances in Neural Network Learning Methods.- Ensemble Learning.- Spiking Neural Networks.- Advances in Neural Network Architectures.- Neural Dynamics and Complex Systems.- Data Analysis.- Estimation.- Spatial and Spatio-Temporal Learning.- Evolutionary Computing.- Meta Learning, Agents Learning.- Complex-Valued Neural Networks (Special Session).- Temporal Synchronization and Nonlinear Dynamics in Neural Networks (Special Session).