© 2015

Artificial Neural Networks

Methods and Applications in Bio-/Neuroinformatics

  • Petia Koprinkova-Hristova
  • Valeri Mladenov
  • Nikola K. Kasabov
Conference proceedings

Part of the Springer Series in Bio-/Neuroinformatics book series (SSBN, volume 4)

Table of contents

  1. Front Matter
    Pages 1-8
  2. Jérémie Cabessa, Alessandro E. P. Villa
    Pages 1-29
  3. Johannes Schumacher, Hazem Toutounji, Gordon Pipa
    Pages 63-90
  4. Vladimir Kryzhanovskiy, Irina Zhelavskaya
    Pages 91-113
  5. Martin Meier, Robert Haschke, Helge J. Ritter
    Pages 127-147
  6. Kyunghyun Cho, Tapani Raiko, Alexander Ilin, Juha Karhunen
    Pages 201-219
  7. Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
    Pages 245-270
  8. Hunor S. Jakab, Lehel Csató
    Pages 295-314
  9. Stefanos Ougiaroglou, Leonidas Karamitopoulos, Christos Tatoglou, Georgios Evangelidis, Dimitris A. Dervos
    Pages 333-348
  10. Carlos M. Alaíz, Álvaro Barbero, José R. Dorronsoro
    Pages 349-371
  11. Denis Kolev, Mikhail Suvorov, Evgeniy Morozov, Garegin Markarian, Plamen Angelov
    Pages 373-391
  12. Grégoire Lefebvre, Samuel Berlemont, Franck Mamalet, Christophe Garcia
    Pages 393-410

About these proceedings


The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.



ANN in bioinformatics ANN in neuroinformatics Dynamic neural networks Embodied models Gesture recognition ICANN 2013 Recurrent neural networks SVMs Time series data Time-dependent learning

Editors and affiliations

  • Petia Koprinkova-Hristova
    • 1
  • Valeri Mladenov
    • 2
  • Nikola K. Kasabov
    • 3
  1. 1.Bulgarian Academy of SciencesInstitute of Information and Communication TechnologiesSofiaBulgaria
  2. 2.Technical University SofiaSofiaBulgaria
  3. 3.Auckland University of TechnologyAucklandNew Zealand

Bibliographic information

  • Book Title Artificial Neural Networks
  • Book Subtitle Methods and Applications in Bio-/Neuroinformatics
  • Editors Petia Koprinkova-Hristova
    Valeri Mladenov
    Nikola K. Kasabov
  • Series Title Springer Series in Bio-/Neuroinformatics
  • Series Abbreviated Title Springer Ser.Bio-/Neuroinformatics
  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-09902-6
  • Softcover ISBN 978-3-319-34950-3
  • eBook ISBN 978-3-319-09903-3
  • Series ISSN 2193-9349
  • Series E-ISSN 2193-9357
  • Edition Number 1
  • Number of Pages IX, 488
  • Number of Illustrations 70 b/w illustrations, 98 illustrations in colour
  • Topics Computational Intelligence
    Computational Biology/Bioinformatics
    Control and Systems Theory
  • Buy this book on publisher's site