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020 _a3540287523 (pt. 1 : pbk.)
020 _a9783540287520 (pt. 1 : pbk.)
020 _a3540287558 (pt. 2 : pbk.)
020 _a9783540287551 (pt. 2 : pbk.)
039 9 _a201402040047
_bVLOAD
_c201010101237
_dmalmash
_c200809150814
_dstaff
_y200809150811
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050 0 0 _aQA76.87
_b.I56 2005
072 7 _aQA
_2lcco
082 0 0 _a006.3/2
_222
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)
_vCongresses.
_925256
650 0 _aArtificial intelligence
_vCongresses.
_910039
700 1 _aDuch, W.
_q(Włodzisław),
_954150
856 4 2 _uhttp://www.loc.gov/catdir/enhancements/fy0663/2005931603-d.html
942 _2lcc
_n0
_cBK
999 _c26198
_d26198