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Record Nr. |
UNINA9910484666803321 |
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Autore |
Marques de Sá Joaquim |
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Titolo |
Artificial Neural Networks - ICANN 2007 : 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I / / edited by Joaquim Marques de Sá, Luis A. Alexandre, Wlodzislaw Duch, Danilo Mandic |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 |
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ISBN |
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Edizione |
[1st ed. 2007.] |
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Descrizione fisica |
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1 online resource (XXI, 980 p.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 4668 |
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Altri autori (Persone) |
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SáJ. P. Marques de <1946-> |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer science |
Pattern recognition systems |
Application software |
Database management |
Neurosciences |
Artificial Intelligence |
Theory of Computation |
Automated Pattern Recognition |
Computer and Information Systems Applications |
Database Management |
Neuroscience |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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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). |
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Sommario/riassunto |
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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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