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Artificial Neural Networks – ICANN 2007

17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I

  • Editors
  • Joaquim Marques de Sá
  • Luís A. Alexandre
  • Włodzisław Duch
  • Danilo Mandic

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4668)

Table of contents

  1. Front Matter
  2. Learning Theory

    1. Shinichi Nakajima, Sumio Watanabe
      Pages 1-10
    2. Yu Nishiyama, Sumio Watanabe
      Pages 29-38
    3. Héctor F. Satizábal M., Andres Pérez-Uribe
      Pages 39-48
    4. Feng Liu, Fengzhan Tian, Qiliang Zhu
      Pages 49-57
    5. Rowland R. Sillito, Robert B. Fisher
      Pages 58-67
    6. M. A. H. Akhand, Kazuyuki Murase
      Pages 98-108
  3. Advances in Neural Network Learning Methods

    1. Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter
      Pages 119-128
    2. Thorsten Suttorp, Christian Igel
      Pages 139-148
    3. Koichiro Yamauchi, Masayoshi Sato
      Pages 149-158
    4. Daniel García, Ana González, José R. Dorronsoro
      Pages 159-168
    5. Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela
      Pages 190-198
    6. Abderrahmane Boubezoul, Sébastien Paris, Mustapha Ouladsine
      Pages 199-208
    7. Enrique Romero, Ignacio Barrio, Lluís Belanche
      Pages 209-218
    8. Cláudio M. S. Medeiros, Guilherme A. Barreto
      Pages 219-228
    9. Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski
      Pages 269-278
    10. Antonino Fiannaca, Giuseppe Di Fatta, Salvatore Gaglio, Riccardo Rizzo, Alfonso M. Urso
      Pages 279-288
    11. Roselito A. Teixeira, Antônio P. Braga, Rodney R. Saldanha, Ricardo H. C. Takahashi, Talles H. Medeiros
      Pages 289-298
  4. Ensemble Learning

    1. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
      Pages 309-318
    2. Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez
      Pages 319-328
    3. Matthew Prior, Terry Windeatt
      Pages 329-338
    4. Emilio Corchado, Bruno Baruque, Hujun Yin
      Pages 339-348
  5. Spiking Neural Networks

    1. Yaochu Jin, Ruojing Wen, Bernhard Sendhoff
      Pages 370-379
    2. Florian Kaiser, Fridtjof Feldbusch
      Pages 380-389
    3. Lakshmi Narayana Panuku, C. Chandra Sekhar
      Pages 390-399
    4. Chong Liu, Jonathan Shapiro
      Pages 400-410
  6. Advances in Neural Network Architectures

    1. Wolfgang Hübner, Hanspeter A. Mallot
      Pages 411-420
    2. Ignacio Barrio, Enrique Romero, Lluís Belanche
      Pages 421-430
    3. Ignacio Barrio, Enrique Romero, Lluís Belanche
      Pages 431-440
    4. Q. Meng, B. Li, N. Costen, H. Holstein
      Pages 441-449
    5. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
      Pages 450-459
    6. Simon McGregor
      Pages 460-470
    7. Benjamin Schrauwen, Jeroen Defour, David Verstraeten, Jan Van Campenhout
      Pages 471-479

Other volumes

  1. Artificial Neural Networks – ICANN 2007
    17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I
  2. 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II

About these proceedings

Introduction

This two volume set LNCS 4668 and LNCS 4669 constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007, held in Porto, Portugal, in September 2007.

The 197 revised full papers presented were carefully reviewed and selected from 376 submissions. The 98 papers of the first volume are organized in topical sections on learning theory, advances in neural network learning methods, ensemble learning, spiking neural networks, advances in neural network architectures neural network technologies, neural dynamics and complex systems, data analysis, estimation, spatial and spatio-temporal learning, evolutionary computing, meta learning, agents learning, complex-valued neural networks, as well as temporal synchronization and nonlinear dynamics in neural networks.

Keywords

Boolean function algorithmic learning algorithms bioinspired computing biomedical data analysis classification clutering cognition cognitive science complexity computer vision fuzzy logic genetic programming modeling multi-agent system

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-74690-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-74689-8
  • Online ISBN 978-3-540-74690-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site