Artificial Neural Networks – ICANN 2010

20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II

  • Konstantinos Diamantaras
  • Wlodek Duch
  • Lazaros S. Iliadis

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6353)

Table of contents

  1. Front Matter
  2. Kernel Algorithms – Support Vector Machines

    1. Pantelis Bouboulis, Sergios Theodoridis
      Pages 11-20
    2. Fotis Maris, Lazaros Iliadis, Stavros Tachos, Athanasios Loukas, Iliana Spartali, Apostolos Vassileiou et al.
      Pages 21-29
    3. Álvaro Barbero, José R. Dorronsoro
      Pages 30-39
    4. Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
      Pages 49-58
    5. Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens
      Pages 59-69
    6. Mohamed Farouk Abdel Hady, Martin Schels, Friedhelm Schwenker, Günther Palm
      Pages 70-75
    7. Jun Zheng, Hui Yu, Furao Shen, Jinxi Zhao
      Pages 76-81
  3. Knowledge Engineering and Decision Making

    1. Masahiro Adomi, Yumi Shikauchi, Shin Ishii
      Pages 94-103
    2. Rafael V. Borges, Artur d’Avila Garcez, Luis C. Lamb
      Pages 104-113
  4. Recurrent ANN

    1. Mandy Grüttner, Frank Sehnke, Tom Schaul, Jürgen Schmidhuber
      Pages 114-123
    2. Julian Eggert, Joerg Deigmoeller, Volker Willert
      Pages 124-133
    3. Krzysztof Patan, Maciej Patan
      Pages 134-137
    4. Christian Emmerich, René Felix Reinhart, Jochen Jakob Steil
      Pages 148-153

Other volumes

  1. 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I
  2. Artificial Neural Networks – ICANN 2010
    20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II
  3. 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III

About these proceedings

Introduction

th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability “to learn” by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters.

Keywords

Hidden Markov Model Markov Model Support Vector Machine algorithms artificial intelligence brain-computer interfaces classification computational neuroscience evolutionary algorithms genetic algorithms knowledge engineering machine learning recurrent neural netw robot vision visualization

Editors and affiliations

  • Konstantinos Diamantaras
    • 1
  • Wlodek Duch
    • 2
  • Lazaros S. Iliadis
    • 3
  1. 1.Department of InformaticsTEI of ThessalonikiSindosGreece
  2. 2.School of Physics, Astronomy, and Informatics, Department of InformaticsNicolaus Copernicus UniversityTorunPoland
  3. 3.Department of Forestry and Management of the Environment and Natural ResourcesDemocritus University of ThraceOrestiada ThraceGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-15822-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-15821-6
  • Online ISBN 978-3-642-15822-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book