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Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II: Lecture Notes in Computer Science, cartea 3697

Editat de Wlodzislaw Duch, Erkki Oja, Slawomir Zadrozny
en Limba Engleză Paperback – 31 aug 2005
This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.
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Specificații

ISBN-13: 9783540287551
ISBN-10: 3540287558
Pagini: 1084
Ilustrații: XXXII, 1045 p.
Dimensiuni: 155 x 235 x 40 mm
Greutate: 1.48 kg
Ediția:2005
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.- Special Session: Knowledge Extraction from Neural Networks Organizer and Chair: D. A. Elizondo.- Temporal Data Analysis, Prediction and Forecasting.- Support Vector Machines and Kernel-Based Methods.- Soft Computing Methods for Data Representation, Analysis and Processing.- Special Session: Data Fusion for Industrial, Medical and Environmental Applications Organizers and Chairs: D. Mandic, D. Obradovic.- Special Session: Non-linear Predictive Models for Speech Processing Organizers and Chairs: M. Chetouani, M. Faundez-Zanuy, B. Gas, A. Hussain.- Special Session: Intelligent Multimedia and Semantics Organizers and Chairs: Y. Avrithis, S. Kollias.- Applications to Natural Language Proceesing.- Various Applications.- Special Session: Computational Intelligence in Games Organizer and Chair: J. Ma´ndziuk.- Issues in Hardware Implementation.- Erratum.