Springer Series in Bio-/Neuroinformatics

Artificial Neural Networks

Methods and Applications in Bio-/Neuroinformatics

Editors: Koprinkova-Hristova, Petia, Mladenov, Valeri, Kasabov, Nikola K. (Eds.)

  • 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
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eBook $199.00
price for USA (gross)
  • ISBN 978-3-319-09903-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $259.00
price for USA
  • ISBN 978-3-319-09902-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $259.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 10, 2016
  • ISBN 978-3-319-34950-3
  • Free shipping for individuals worldwide
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.

Table of contents (23 chapters)

  • Recurrent Neural Networks and Super-Turing Interactive Computation

    Cabessa, Jérémie (et al.)

    Pages 1-29

  • Image Classification with Nonnegative Matrix Factorization Based on Spectral Projected Gradient

    Zdunek, Rafał (et al.)

    Pages 31-50

  • Energy-Time Tradeoff in Recurrent Neural Nets

    Šíma, Jiří

    Pages 51-62

  • An Introduction to Delay-Coupled Reservoir Computing

    Schumacher, Johannes (et al.)

    Pages 63-90

  • Double-Layer Vector Perceptron for Binary Patterns Recognition

    Kryzhanovskiy, Vladimir (et al.)

    Pages 91-113

Buy this book

eBook $199.00
price for USA (gross)
  • ISBN 978-3-319-09903-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $259.00
price for USA
  • ISBN 978-3-319-09902-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $259.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 10, 2016
  • ISBN 978-3-319-34950-3
  • Free shipping for individuals worldwide
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Bibliographic Information

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 Volume
4
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-09903-3
DOI
10.1007/978-3-319-09903-3
Hardcover ISBN
978-3-319-09902-6
Softcover ISBN
978-3-319-34950-3
Series ISSN
2193-9349
Edition Number
1
Number of Pages
IX, 488
Number of Illustrations and Tables
70 b/w illustrations, 98 illustrations in colour
Topics