Artificial Neural Networks - ICANN 2007: 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II: Lecture Notes in Computer Science, cartea 4669
Editat de Joaquim Marques de Sá, Luis A. Alexandre, Wlodzislaw Duch, Danilo Mandicen Limba Engleză Paperback – 28 aug 2007
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Specificații
ISBN-13: 9783540746935
ISBN-10: 3540746935
Pagini: 1026
Ilustrații: XXXI, 990 p.
Dimensiuni: 155 x 235 x 37 mm
Greutate: 1.15 kg
Ediția:2007
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540746935
Pagini: 1026
Ilustrații: XXXI, 990 p.
Dimensiuni: 155 x 235 x 37 mm
Greutate: 1.15 kg
Ediția:2007
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Computational Neuroscience, Neurocognitive Studies.- Applications in Biomedicine and Bioinformatics.- Pattern Recognition.- Data Clustering.- Self-organization.- Text Mining and Internet Applications.- Signal and Times Series Processing.- Vision and Image Processing.- Robotics, Control.- Real World Applications.- Independent Component Analysis.- Graphs.- Emotion and Attention: Empirical Findings Neural Models (Special Session).- Understanding and Creating Cognitive Systems (Special Session).
Textul de pe ultima copertă
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.
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.