Theoretical Computer Science and General Issues

Artificial Neural Networks and Machine Learning -- ICANN 2012

22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II

Editors: Villa, A., Duch, W., Érdi, P., Masulli, F., Palm, G. (Eds.)

  • Uo to date results Fast track conference proceedings State-of-the-Art research

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eBook $89.00
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  • ISBN 978-3-642-33266-1
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Softcover $119.00
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  • ISBN 978-3-642-33265-4
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About this book

The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully reviewed and selected from 247 submissions. They are organized in topical sections named: theoretical neural computation; information and optimization; from neurons to neuromorphism; spiking dynamics; from single neurons to networks; complex firing patterns; movement and motion; from sensation to perception; object and face recognition; reinforcement learning; bayesian and echo state networks; recurrent neural networks and reservoir computing; coding architectures; interacting with the brain; swarm intelligence and decision-making; mulitlayer perceptrons and kernel networks; training and learning; inference and recognition; support vector machines; self-organizing maps and clustering; clustering, mining and exploratory analysis; bioinformatics; and time weries and forecasting.

Table of contents (72 chapters)

  • Complex-Valued Multilayer Perceptron Search Utilizing Eigen Vector Descent and Reducibility Mapping

    Suzumura, Shinya (et al.)

    Pages 1-8

  • Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning

    Hara, Kazuyuki (et al.)

    Pages 9-16

  • Some Comparisons of Networks with Radial and Kernel Units

    Kůrková, Věra

    Pages 17-24

  • Multilayer Perceptron for Label Ranking

    Ribeiro, Geraldina (et al.)

    Pages 25-32

  • Electricity Load Forecasting: A Weekday-Based Approach

    Koprinska, Irena (et al.)

    Pages 33-41

Buy this book

eBook $89.00
price for USA (gross)
  • ISBN 978-3-642-33266-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $119.00
price for USA
  • ISBN 978-3-642-33265-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Artificial Neural Networks and Machine Learning -- ICANN 2012
Book Subtitle
22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II
Editors
  • Alessandro Villa
  • Włodzisław Duch
  • Péter Érdi
  • Francesco Masulli
  • Günther Palm
Series Title
Theoretical Computer Science and General Issues
Series Volume
7553
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-33266-1
DOI
10.1007/978-3-642-33266-1
Softcover ISBN
978-3-642-33265-4
Edition Number
1
Number of Pages
XXVIII, 590
Number of Illustrations and Tables
172 b/w illustrations
Topics