Neural Information Processing

11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004. Proceedings

  • Nikhil Ranjan Pal
  • Nik Kasabov
  • Rajani K. Mudi
  • Srimanta Pal
  • Swapan Kumar Parui
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3316)

Table of contents

  1. Front Matter
  2. Computational Neuroscience

    1. Rolf Eckmiller, Oliver Baruth, Dirk Neumann
      Pages 10-18
    2. Katsuki Katayama, Masafumi Yano, Tsuyoshi Horiguchi
      Pages 19-30
    3. Kazuhisa Fujita, ShungQuang Huang, Yoshiki Kashimori, Takeshi Kambara
      Pages 44-49
    4. Basabi Bhaumik, Alok Agarwal, Mona Mathur, Manish Manohar
      Pages 57-63
    5. Sridharan Devarajan, P. S. Prashanth, V. S. Chakravarthy
      Pages 70-77
    6. Kazuhisa Fujita, Eigo Kamata, Satoru Inoue, Yoshiki Kashimori, Takeshi Kambara
      Pages 78-83
  3. Complex-Valued Neural Networks

About these proceedings

Introduction

It is our great pleasure to welcome you to the 11th International Conference on Neural Information Processing (ICONIP 2004) to be held in Calcutta. ICONIP 2004 is organized jointly by the Indian Statistical Institute (ISI) and Jadavpur University (JU). We are con?dent that ICONIP 2004, like the previous conf- ences in this series,will providea forum for fruitful interactionandthe exchange of ideas between the participants coming from all parts of the globe. ICONIP 2004 covers all major facets of computational intelligence, but, of course, with a primary emphasis on neural networks. We are sure that this meeting will be enjoyable academically and otherwise. We are thankful to the track chairs and the reviewers for extending their support in various forms to make a sound technical program. Except for a few cases, where we could get only two review reports, each submitted paper was reviewed by at least three referees, and in some cases the revised versions were againcheckedbythereferees. Wehad470submissionsanditwasnotaneasytask for us to select papers for a four-day conference. Because of the limited duration of the conference, based on the review reports we selected only about 40% of the contributed papers. Consequently, it is possible that some good papers are left out. We again express our sincere thanks to all referees for accomplishing a great job. In addition to 186 contributed papers, the proceedings includes two plenary presentations, four invited talks and 18 papers in four special sessions. The proceedings is organized into 26 coherent topical groups.

Keywords

adaption algorithmic learning artificial intelligence artificial neural networks cognitive science evolutionary computing fuzzy logic fuzzy system kernel methods neural computing neuro-fuzzy systems neuroinformatics neuroscience soft computing support vector machine

Editors and affiliations

  • Nikhil Ranjan Pal
    • 1
  • Nik Kasabov
    • 2
  • Rajani K. Mudi
    • 3
  • Srimanta Pal
    • 4
  • Swapan Kumar Parui
    • 5
  1. 1.Indian Statistical InstituteElectronics and Communication Sciences UnitKolkataIndia
  2. 2.School of Computer and Information Sciences, Knowledge Engineering and Discovery Research Institute (KEDRI)Auckland University of TechnologyAucklandNew Zealand
  3. 3.Department of Instrumentation and Electronics EngineeringJadavpur UniversityCalcuttaIndia
  4. 4.Indian Statistical InstituteCalcutta 
  5. 5.Indian Statistical InstituteComputer Vision and Pattern Recognition UnitKolkataIndia

Bibliographic information

  • DOI https://doi.org/10.1007/b103766
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-23931-4
  • Online ISBN 978-3-540-30499-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book