000			03192cam a22003137a 4500
001			vtls000002423
003			VRT
005			20250102225208.0
008			081124s2005 gw a |b 101 0 eng d
020			_a3540287523 (pt. 1 : pbk.)
020			_a9783540287520 (pt. 1 : pbk.)
020			_a3540287558 (pt. 2 : pbk.)
020			_a9783540287551 (pt. 2 : pbk.)
039		9	_a201402040101 _bVLOAD _c201010100753 _dmalmash _c200812011457 _dvenkatrajand _c200811241415 _dNoora _y200811241414 _zNoora
050	0	0	_aQA76.87 _b.I56 2005
072		7	_aQA _2lcco
111	2		_aInternational Conference on Artificial Neural Networks (European Neural Network Society) _n(15th : _d2005 : _cWarsaw, Poland) _954088
245	1	0	_aArtificial neural networks : _bICANN 2005 : 15th international conference, Warsaw, Poland, September 11-15, 2005 : proceedings / _cWłodzisław Duch ... [et al.] (eds.).
260			_aBerlin : _bSpringer, _c2005.
300			_a2 v. : _bill. ; _c24 cm.
440		0	_aLecture notes in computer science ; _v3696-3697 _9767
504			_aIncludes bibliographical references and indexes.
505	0		_av. 1. Biological inspirations -- v. 2. Formal models and their applications.
520			_aThe two volume set LNCS 3696 and LNCS 3697 constitutes the refereed proceedings of the 15th International Conference on Artificial Neural Networks, ICANN 2005, held in Warsaw, Poland in September 2005. The over 600 papers submitted to ICANN 2005 were thoroughly reviewed and carefully selected for presentation. The first volume includes 106 contributions related to Biological Inspirations; topics addressed are modeling the brain and cognitive functions, development of cognitive powers in embodied systems spiking neural networks, associative memory models, models of biological functions, projects in the area of neuro IT, evolutionary and other biological inspirations, self-organizing maps and their applications, computer vision, face recognition and detection, sound and speech recognition, bioinformatics, biomedical applications, and information - theoretic concepts in biomedical data analysis. The second volume contains 162 contributions related to Formal Models and their Applications and deals with new neural network models, supervised learning algorithms, ensemble-based learning, unsupervised learning, recurrent neural networks, reinforcement learning, bayesian approaches to learning, learning theory, artificial neural networks for system modeling, decision making, optimalization and control, knowledge extraction from neural networks, temporal data analysis, prediction and forecasting, support vector machines and kernel-based methods, soft computing methods for data representation, analysis and processing, data fusion for industrial, medical and environmental applications, non-linear predictive models for speech processing, intelligent multimedia and semantics, applications to natural language processing, various applications, computational intelligence in games, and issues in hardware implementation.
650		0	_aNeural networks (Computer science) _92384
650		0	_aArtificial intelligence _95146
700	1		_aDuch, W. _954089
942			_2lcc _n0 _cBK
999			_c26174 _d26174