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Computational Intelligence and Bioinspired Systems

8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005. Proceedings

  • Joan Cabestany
  • Alberto Prieto
  • Francisco Sandoval
Conference proceedings IWANN 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3512)

Table of contents

  1. Front Matter
  2. Mathematical and Theoretical Methods

  3. Evolutionary Computation

    1. C. González, A. Ramírez, J. A. Lozano, P. Larrañaga
      Pages 42-49
    2. E. Domínguez, J. Muñoz
      Pages 67-74
    3. Francisco Martínez-Estudillo, César Hervás-Martínez, Alfonso Martínez-Estudillo, Domingo Ortíz-Boyer
      Pages 83-90
    4. Wuhong He, Haifeng Du, Licheng Jiao, Jing Li
      Pages 91-98
  4. Neurocomputational Inspired Models

    1. Ana Porto, Alejandro Pazos, Alfonso Araque
      Pages 99-106
    2. Egidio D’Angelo, Thierry Nieus, Michele Bezzi, Angelo Arleo, Olivier J. -M. D. Coenen
      Pages 107-114
    3. Tino Lourens, Emilia Barakova
      Pages 122-129
    4. Carlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano
      Pages 130-135
    5. Christian Boucheny, Richard Carrillo, Eduardo Ros, Olivier J. -M. D. Coenen
      Pages 136-144
    6. Carlos Martín-Vide, Tseren-Onolt Ishdorj
      Pages 145-152
    7. Hiroyuki Okada, Masamichi Sakagami, Hiroshi Yamakawa
      Pages 153-160
    8. Joaquín J. Torres, Jesús M. Cortés, Joaquín Marro
      Pages 161-167
    9. Richard R. Carrillo, Eduardo Ros, Eva M. Ortigosa, Boris Barbour, Rodrigo Agís
      Pages 168-175
  5. Learning and Adaptation

    1. Jason Weston, Bernhard Schölkopf, Olivier Bousquet
      Pages 176-191
    2. Andrés Yáñez Escolano, Pedro Galindo Riaño, Joaquin Pizarro Junquera, Elisa Guerrero Vázquez
      Pages 192-199
    3. Michele La Rocca, Cira Perna
      Pages 200-207
    4. Iván Cantador, José R. Dorronsoro
      Pages 208-216
    5. Pedro J. García-Laencina, Aníbal R. Figueiras-Vidal, Jesús Serrano-García, José-Luis Sancho-Gómez
      Pages 233-240
    6. Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeevi
      Pages 241-248
    7. Kurt Stadlthanner, Fabian J. Theis, Carlos G. Puntonet, Elmar W. Lang
      Pages 249-256
  6. Radial Basic Functions Structures

    1. J. M. Valls, R. Aler, O. Fernández
      Pages 257-263
    2. Ralf Eickhoff, Ulrich Rückert
      Pages 264-271
    3. A. Guillén, I. Rojas, J. González, H. Pomares, L. J. Herrera, O. Valenzuela et al.
      Pages 272-279
    4. Mohammed Awad, Héctor Pomares, Ignacio Rojas, Luis J. Herrera, Alberto Prieto
      Pages 280-288
    5. Mohammed Awad, Héctor Pomares, Luis Javier Herrera, Jesús González, Alberto Guillén, Fernando Rojas
      Pages 289-296
    6. Antonio J. Rivera, Ignacio Rojas, Julio Ortega
      Pages 297-305
  7. Self-organizing Networks and Methods

    1. Habiba Drias, Souhila Sadeg, Safa Yahi
      Pages 318-325
    2. F. Bellas, J. A. Becerra, R. J. Duro
      Pages 333-340
    3. Sebastián Moreno, Héctor Allende, Cristian Rogel, Rodrigo Salas
      Pages 341-348
  8. Support Vector Machines

    1. D. Gutiérrez-González, E. Parrado-Hernández, A. Navia-Vázquez
      Pages 357-365
  9. Cellular Neural Networks

    1. Daniela Danciu, Vladimir Răsvan
      Pages 366-373
  10. Hybrid Systems

    1. Juan R. Rabuñal, Julián Dorado, Marcos Gestal, Nieves Pedreira
      Pages 382-390
    2. Sung-Kwun Oh, Keon-Jun Park, Yong-Soo Kim, Tae-Chon Ahn
      Pages 391-398
    3. Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guilén, Jesús González, Mohammed Awad
      Pages 399-406

About these proceedings

Introduction

We present in this volume the collection of finally accepted papers of the eighth edition of the “IWANN” conference (“International Work-Conference on Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems). Since the first edition of IWANN in Granada (LNCS 540, 1991), the Artificial Neural Network (ANN) community, and the domain itself, have matured and evolved. Under the ANN banner we find a very heterogeneous scenario with a main interest and objective: to better understand nature and beings for the correct elaboration of theories, models and new algorithms. For scientists, engineers and professionals working in the area, this is a very good way to get solid and competitive applications. We are facing a real revolution with the emergence of embedded intelligence in many artificial systems (systems covering diverse fields: industry, domotics, leisure, healthcare, … ). So we are convinced that an enormous amount of work must be, and should be, still done. Many pieces of the puzzle must be built and placed into their proper positions, offering us new and solid theories and models (necessary tools) for the application and praxis of these current paradigms. The above-mentioned concepts were the main reason for the subtitle of the IWANN 2005 edition: “Computational Intelligence and Bioinspired Systems.” The call for papers was launched several months ago, addressing the following topics: 1. Mathematical and theoretical methods in computational intelligence.

Keywords

Support Vector Machine artificial neural network cognition computational intelligence evolution evolutionary computation learning neural network pattern recognition robot robotics

Editors and affiliations

  • Joan Cabestany
    • 1
  • Alberto Prieto
    • 2
  • Francisco Sandoval
    • 3
  1. 1.Departamento de Ingeniería ElectrónicaUniversitat Politècnica de Catalunya (UPC). E.T.S.I. de TelecomunicaciónBarcelonaSpain
  2. 2.Department of Computer Architecture and Computer TechnologyUniversity of Granada 
  3. 3.Grupo ISIS, Dpto. Tecnología Electrónica ETSI TelecomunicaciónUniversidad de MálagaMálagaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/b136983
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-26208-4
  • Online ISBN 978-3-540-32106-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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