Engineering Applications of Neural Networks

11th International Conference, EANN 2009, London, UK, August 27-29, 2009. Proceedings

  • Dominic Palmer-Brown
  • Chrisina Draganova
  • Elias Pimenidis
  • Haris Mouratidis

Part of the Communications in Computer and Information Science book series (CCIS, volume 43)

Table of contents

  1. Front Matter
  2. Iffat A. Gheyas, Leslie S. Smith
    Pages 28-34
  3. Masaaki Ogihara, Hideyuki Matsumoto, Tamaki Marumo, Chiaki Kuroda
    Pages 45-54
  4. Lazaros S. Iliadis, Stephanos Spartalis
    Pages 55-66
  5. Javier Miranda, Rosa Pérez, Antonio Baeza, Javier Guillén
    Pages 79-85
  6. Mohamed Samir Toukourou, Anne Johannet, Gérard Dreyfus
    Pages 98-107
  7. Cristiano Leite Castro, Mateus Araujo Carvalho, Antônio Padua Braga
    Pages 108-118
  8. Ignacio Díaz, Abel A. Cuadrado, Alberto B. Diez, Juan J. Fuertes, Manuel Domínguez, Miguel A. Prada
    Pages 119-130
  9. Martin Schroeder, Dan Cornford, Ian T. Nabney
    Pages 131-142
  10. Leandro Tortosa, José F. Vicent, Antonio Zamora, José L. Oliver
    Pages 143-152
  11. Adam Adamopoulos, Mirto Ntasi, Seferina Mavroudi, Spiros Likothanassis, Lazaros Iliadis, George Anastassopoulos
    Pages 165-177
  12. Pekka Kumpulainen, Marja Mettänen, Mikko Lauri, Heimo Ihalainen
    Pages 178-189
  13. Aruna Shenoy, Sue Anthony, Ray Frank, Neil Davey
    Pages 200-209

About these proceedings


A cursory glance at the table of contents of EANN 2009 reveals the am- ing range of neural network and related applications. A random but revealing sample includes: reducing urban concentration, entropy topography in epil- tic electroencephalography, phytoplanktonic species recognition, revealing the structure of childhood abdominal pain data, robot control, discriminating angry and happy facial expressions, ?ood forecasting, and assessing credit worthiness. The diverse nature of applications demonstrates the vitality of neural comp- ing and related soft computing approaches, and their relevance to many key contemporary technological challenges. It also illustrates the value of EANN in bringing together a broad spectrum of delegates from across the world to learn from each other’s related methods. Variations and extensions of many methods are well represented in the proceedings, ranging from support vector machines, fuzzy reasoning, and Bayesian methods to snap-drift and spiking neurons. This year EANN accepted approximately 40% of submitted papers for fu- length presentation at the conference. All members of the Program Committee were asked to participate in the reviewing process. The standard of submissions was high, according to the reviewers, who did an excellent job. The Program and Organizing Committees thank them. Approximately 20% of submitted - pers will be chosen, the best according to the reviews, to be extended and - viewedagainfor inclusionin a specialissueofthe journalNeural Computing and Applications. We hope that these proceedings will help to stimulate further research and development of new applications and modes of neural computing.


Fuzzy Software artificial intelligence cluster analysis data mining data reconstruction development face recognition fuzzy logic intelligent agents modeling programming quality quality assurance visualization

Editors and affiliations

  • Dominic Palmer-Brown
    • 1
  • Chrisina Draganova
    • 2
  • Elias Pimenidis
    • 3
  • Haris Mouratidis
    • 2
  1. 1.Faculty of ComputingLondon Metropolitan UniversityLondonUK
  2. 2.School of Computing, IT and EngineeringUniversity of East LondonLondonUK
  3. 3.School of Computing, IT and EngineeringUniversity of East LondonLondonUK

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-03968-3
  • Online ISBN 978-3-642-03969-0
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • About this book