Artificial Neural Networks and Machine Learning – ICANN 2013

23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings

  • Valeri Mladenov
  • Petia Koprinkova-Hristova
  • Günther Palm
  • Alessandro E. P. Villa
  • Bruno Appollini
  • Nikola Kasabov
Conference proceedings ICANN 2013
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8131)

Table of contents

  1. Front Matter
  2. Neural Network Theory and Models

    1. Botond Attila Bócsi, Lehel Csató
      Pages 1-8
    2. Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin
      Pages 9-16
    3. Yuya Okadome, Yutaka Nakamura, Yumi Shikauchi, Shin Ishii, Hiroshi Ishiguro
      Pages 17-25
    4. Johannes Schumacher, Hazem Toutounji, Gordon Pipa
      Pages 26-33
    5. Stefanos Ougiaroglou, Leonidas Karamitopoulos, Christos Tatoglou, Georgios Evangelidis, Dimitris A. Dervos
      Pages 34-41
    6. Vladimir Kryzhanovsky, Irina Zhelavskaya, Juan Antonio Clares Tomas
      Pages 42-49
    7. Carlos M. Alaíz, Álvaro Barbero, José R. Dorronsoro
      Pages 66-73
    8. Farouk Chérif, Hajer Brahmi, Boudour Ammar, Adel M. Alimi
      Pages 74-81
    9. Salvatore Frandina, Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci
      Pages 82-89
    10. Rafał Zdunek, Anh-Huy Phan, Andrzej Cichocki
      Pages 90-97
    11. Nathan Burles, Simon O’Keefe, James Austin
      Pages 98-105
  3. Machine Learning and Learning Algorithms

About these proceedings

Introduction

The book constitutes the proceedings of the 23rd International Conference on Artificial Neural Networks, ICANN 2013, held in Sofia, Bulgaria, in September 2013. The 78 papers included in the proceedings were carefully reviewed and selected from 128 submissions. The focus of the papers is on following topics:neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence.

Keywords

computational neuroscience distributed learning evolving systems natural language processing turing machines

Editors and affiliations

  • Valeri Mladenov
    • 1
  • Petia Koprinkova-Hristova
    • 2
  • Günther Palm
    • 3
  • Alessandro E. P. Villa
    • 4
  • Bruno Appollini
    • 5
  • Nikola Kasabov
    • 6
  1. 1.Faculty Automation,Technical University of SofiaSofiaBulgaria
  2. 2.Institute of Information and Communication TechnologiesBulgarian Academy of SciencesSofiaBulgaria
  3. 3.Institute of Neural Information ProcessingUniversity of UlmUlmGermany
  4. 4.Quartier UNIL-Dorigny, Bâtiment InternefUniversité de LausanneLausanneSwitzerland
  5. 5.Department of Computer ScienceUniversity of MilanoMilanoItaly
  6. 6.Knowledge Engineering, School of Computing and Mathematical SciencesAuckland University of TechnologyAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-40728-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-40727-7
  • Online ISBN 978-3-642-40728-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book