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  • Conference proceedings
  • © 2015

Artificial Neural Networks

Methods and Applications in Bio-/Neuroinformatics

  • Presents the latest research on artificial neural networks

  • Gives emphasis to neural networks and machine learning topics in bio-neuroinformatics

  • Edited and written by experts in the field

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

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-09903-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 299.99
Price excludes VAT (USA)

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Table of contents (23 papers)

  1. Front Matter

    Pages 1-8
  2. Recurrent Neural Networks and Super-Turing Interactive Computation

    • Jérémie Cabessa, Alessandro E. P. Villa
    Pages 1-29
  3. An Introduction to Delay-Coupled Reservoir Computing

    • Johannes Schumacher, Hazem Toutounji, Gordon Pipa
    Pages 63-90
  4. Double-Layer Vector Perceptron for Binary Patterns Recognition

    • Vladimir Kryzhanovskiy, Irina Zhelavskaya
    Pages 91-113
  5. Learning Gestalt Formations for Oscillator Networks

    • Martin Meier, Robert Haschke, Helge J. Ritter
    Pages 127-147
  6. How to Pretrain Deep Boltzmann Machines in Two Stages

    • Kyunghyun Cho, Tapani Raiko, Alexander Ilin, Juha Karhunen
    Pages 201-219
  7. Learning as Constraint Reactions

    • Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
    Pages 245-270
  8. Sparse Approximations to Value Functions in Reinforcement Learning

    • Hunor S. Jakab, Lehel Csató
    Pages 295-314
  9. Applying Prototype Selection and Abstraction Algorithms for Efficient Time-Series Classification

    • Stefanos Ougiaroglou, Leonidas Karamitopoulos, Christos Tatoglou, Georgios Evangelidis, Dimitris A. Dervos
    Pages 333-348
  10. Enforcing Group Structure through the Group Fused Lasso

    • Carlos M. Alaíz, Álvaro Barbero, José R. Dorronsoro
    Pages 349-371
  11. Incremental Anomaly Identification in Flight Data Analysis by Adapted One-Class SVM Method

    • Denis Kolev, Mikhail Suvorov, Evgeniy Morozov, Garegin Markarian, Plamen Angelov
    Pages 373-391
  12. Inertial Gesture Recognition with BLSTM-RNN

    • Grégoire Lefebvre, Samuel Berlemont, Franck Mamalet, Christophe Garcia
    Pages 393-410

About this book

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.

 

Keywords

  • 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

  • Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, Sofia, Bulgaria

    Petia Koprinkova-Hristova

  • Technical University Sofia, Sofia, Bulgaria

    Valeri Mladenov

  • Auckland University of Technology, Auckland, New Zealand

    Nikola K. Kasabov

Bibliographic Information

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-09903-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 299.99
Price excludes VAT (USA)