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001			978-3-540-74690-4
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008			100301s2007 gw | s |||| 0|eng d
020			_a9783540746904 _9978-3-540-74690-4
024	7		_a10.1007/978-3-540-74690-4 _2doi
050		4	_aQ334-342
050		4	_aTA347.A78
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072		7	_aCOM004000 _2bisacsh
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245	1	0	_aArtificial Neural Networks - ICANN 2007 _h[electronic resource] : _b17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I / _cedited by Joaquim Marques de Sá, Luis A. Alexandre, Wlodzislaw Duch, Danilo Mandic.
250			_a1st ed. 2007.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2007.
300			_aXXI, 980 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v4668
505	0		_aLearning 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).
520			_aThis 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.
650		0	_aArtificial intelligence.
650		0	_aComputer science.
650		0	_aPattern recognition systems.
650		0	_aApplication software.
650		0	_aDatabase management.
650		0	_aNeurosciences.
650	1	4	_aArtificial Intelligence.
650	2	4	_aTheory of Computation.
650	2	4	_aAutomated Pattern Recognition.
650	2	4	_aComputer and Information Systems Applications.
650	2	4	_aDatabase Management.
650	2	4	_aNeuroscience.
700	1		_aMarques de Sá, Joaquim. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aAlexandre, Luis A. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDuch, Wlodzislaw. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMandic, Danilo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783540746898
776	0	8	_iPrinted edition: _z9783540843306
830		0	_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v4668
856	4	0	_uhttps://doi.org/10.1007/978-3-540-74690-4
912			_aZDB-2-SCS
912			_aZDB-2-SXCS
912			_aZDB-2-LNC
942			_cSPRINGER
999			_c182295 _d182295