Artificial Intelligence and Neural Networks 14th Turkish Symposi
The Turkish Artificial Intelligence and Neural Network Symposium (TAINN) is an annual meeting where scientists present their new ideas and algorithms on artificial intelligence and neural networks with either oral or poster presentation. The TAINN- Turkis
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Subseries of Lecture Notes in Computer Science
3949
F. Acar Savacı (Ed.)
Artificial Intelligence and Neural Networks 14th Turkish Symposium, TAINN 2005 Izmir, Turkey, June 16-17, 2005 Revised Selected Papers
13
Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editor F. Acar Savacı Izmir Institute of Technology Electrical-Electronics Engineering Gülbahçe, Urla, Izmir, Turkey E-mail: [email protected]
Library of Congress Control Number: 2006929223
CR Subject Classification (1998): I.2, I.5, F.4.1, H.3, F.1 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-36713-6 Springer Berlin Heidelberg New York 978-3-540-36713-0 Springer Berlin Heidelberg New York
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Preface
The Turkish Artificial Intelligence and Neural Network Symposium (TAINN) is an annual meeting where scientists present their new ideas and algorithms on artificial intelligence and neural networks with either oral or poster presentation. The TAINNTurkish Conference on AI and NN Series started in 1992 at Bilkent University in Ankara, envisioned by various researchers in AI and NN then at the Bilkent, Middle East Technical, Bo÷aziçi and Ege universities as a forum for local researchers to get together and communicate. Since then, TAINN has been held annually around early summer. This year the 14th TAINN conference was organized by the EE and CE departments of the øzmir Institute of Technology with an emphasis on international contributions. Among the 75 papers, 41 were accepted for oral presentation and 12 for poster presen-tation. In addition to the presentations, invited lectures were given by Burhan Türkúen (Knowledge/Intelligence Systems Laboratory, University of Toronto) and Joerg Siekmann (German Research Center for Artificial Intelligence DFKI, Saarland University), providing us with new developments in the field. We are very grateful to the contributions of such pioneer scientists. The careful reviewing process by the well-recognized reviewers contributed to the quality of TAINN 2005, and therefore we thank them very much. We thank each member of the Or
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