Engineering Applications of Neural Networks

15th International Conference, EANN 2014, Sofia, Bulgaria, September 5-7, 2014. Proceedings

  • Valeri Mladenov
  • Chrisina Jayne
  • Lazaros Iliadis

Part of the Communications in Computer and Information Science book series (CCIS, volume 459)

Table of contents

  1. Front Matter
  2. Ilias Bougoudis, Lazaros Iliadis, Antonis Papaleonidas
    Pages 1-14
  3. Kazuhiko Takahashi, Sae Takahashi, Yunduan Cui, Masafumi Hashimoto
    Pages 15-24
  4. Israel Tabarez Paz, Neil Hernández Gress, Miguel González Mendoza
    Pages 25-38
  5. Bruno S. Faiçal, Gustavo Pessin, Geraldo P. R. Filho, Gustavo Furquim, André C. P. L. F. de Carvalho, Jó Ueyama
    Pages 49-58
  6. Aarón Montero, Ramón Huerta, Francisco B. Rodríguez
    Pages 71-80
  7. Eduardo Aguiar, Fernando Nogueira, Renan Amaral, Diego Fabri, Sérgio Rossignoli, José Geraldo Ferreira et al.
    Pages 81-91
  8. Gustavo Furquim, Rodrigo Mello, Gustavo Pessin, Bruno S. Faiçal, Eduardo M. Mendiondo, Jó Ueyama
    Pages 92-102
  9. Sarni Suhaila Rahim, Vasile Palade, James Shuttleworth, Chrisina Jayne
    Pages 113-122
  10. Lachezar Bozhkov, Petia Georgieva, Roumen Trifonov
    Pages 123-132
  11. P. Chatziagorakis, C. Elmasides, G. Ch. Sirakoulis, I. Karafyllidis, I. Andreadis, N. Georgoulas et al.
    Pages 133-144
  12. Noman Bin Mannan, Sheikh Muhammad Sarwar, Najeeb Elahi
    Pages 145-154
  13. Mark van Heeswijk, Amaury Lendasse, Yoan Miche
    Pages 165-174
  14. Christo Panchev, Petar Dobrev, James Nicholson
    Pages 175-182
  15. Han Liu, Alexander Gegov, Frederic Stahl
    Pages 183-194
  16. Ahmet Sayar, Süleyman Eken, Umit Mert
    Pages 195-204

About these proceedings

Introduction

This volume constitutes the refereed proceedings of the 15th International Conference on Engineering Applications of Neural Networks, EANN 2014, held in Sofia, Bulgaria, in September 2014. The 18 revised full papers presented together with 5 short papers were carefully reviewed and selected from 37 submissions. The papers demonstrate a variety of applications of neural networks and other computational intelligence approaches to challenging problems relevant to society and the economy. These include areas such as: environmental engineering, facial expression recognition, classification with parallelization algorithms, control of autonomous unmanned aerial vehicles, intelligent transport, flood forecasting, classification of medical images, renewable energy systems, intrusion detection, fault classification and general engineering.

Keywords

UAV artificial neural networks artificial neural networks classification models classification models computational intelligence computational intelligence computing methodologies computing methodologies engineering models engineering models forecasting models forecasting models fuzzy neural network image analysis machine learning network models pattern recognition support vector machines

Editors and affiliations

  • Valeri Mladenov
    • 1
  • Chrisina Jayne
    • 2
  • Lazaros Iliadis
    • 3
  1. 1.Dept. of Theoretical Electrical EngineeringTechnical University of SofiaSofiaBulgaria
  2. 2.Faculty of Engineering and ComputingCoventry UniversityUK
  3. 3.Department of Forestry and Management of the EnvironmentDemocritus University of ThraceOrestiadaGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-11071-4
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-11070-7
  • Online ISBN 978-3-319-11071-4
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • About this book