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Artificial Neural Networks ICANN 2007 [electronic resource] : 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I / edited by Joaquim Marques S, Luȡs A. Alexandre, Wodzisaw Duch, Danilo Mandic.

Por: S, Joaquim Marques [editor.]Colaborador(es): Alexandre, Luȡs A [editor.] | Duch, Wodzisaw [editor.] | Mandic, Danilo [editor.]Tipo de material: TextoTextoSeries Lecture Notes in Computer Science, 4668Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Descripción: XXI, 980 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783540746904Trabajos contenidos: SpringerLink (Online service)Tema(s): Computer science | Neurosciences | Database management | Information systems | Artificial intelligence | Optical pattern recognition | Computer Science | Computation by Abstract Devices | Artificial Intelligence (incl. Robotics) | Pattern Recognition | Information Systems Applications (incl.Internet) | Database Management | NeurosciencesFormatos físicos adicionales: Sin títuloClasificación CDD: 004.0151 Clasificación LoC:QA75.5-76.95Recursos en línea: de clik aquí para ver el libro electrónico
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Springer eBooksResumen: This two volume set LNCS 4668 and LNCS 4669 constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007, held in Porto, Portugal, in September 2007. The 197 revised full papers presented were carefully reviewed and selected from 376 submissions. The 98 papers of the first volume are organized in topical sections on learning theory, advances in neural network learning methods, ensemble learning, spiking neural networks, advances in neural network architectures neural network technologies, neural dynamics and complex systems, data analysis, estimation, spatial and spatio-temporal learning, evolutionary computing, meta learning, agents learning, complex-valued neural networks, as well as temporal synchronization and nonlinear dynamics in neural networks.
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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).

This two volume set LNCS 4668 and LNCS 4669 constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007, held in Porto, Portugal, in September 2007. The 197 revised full papers presented were carefully reviewed and selected from 376 submissions. The 98 papers of the first volume are organized in topical sections on learning theory, advances in neural network learning methods, ensemble learning, spiking neural networks, advances in neural network architectures neural network technologies, neural dynamics and complex systems, data analysis, estimation, spatial and spatio-temporal learning, evolutionary computing, meta learning, agents learning, complex-valued neural networks, as well as temporal synchronization and nonlinear dynamics in neural networks.

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