Artificial neural networks : ICANN 2005 : 15th international conference, Warsaw, Poland, September 11-15, 2005 : proceedings / Włodzisław Duch ... [et al.] (eds.).
Material type: TextSeries: Lecture notes in computer science ; 3696-3697Publication details: Berlin : Springer, 2005.Description: 2 v. : ill. ; 24 cmISBN:- 3540287523 (pt. 1 : pbk.)
- 9783540287520 (pt. 1 : pbk.)
- 3540287558 (pt. 2 : pbk.)
- 9783540287551 (pt. 2 : pbk.)
- 006.3/2 22
- QA76.87 .I56 2005
Item type | Current library | Call number | Copy number | Status | Barcode | |
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Books | Library First Floor | QA76.87 .I56 2005 (Browse shelf(Opens below)) | 1 | Available | 11302 |
Includes bibliographical references and indexes.
v. 1. Biological inspirations -- v. 2. Formal models and their applications.
The 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.
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