Theoretical Computer Science and General Issues

Artificial Neural Networks - ICANN 2010

20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I

Editors: Diamantaras, Konstantinos, Duch, Wlodek, Iliadis, Lazaros (Eds.)

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About this book

th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability “to learn” by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters.

Table of contents (75 chapters)

  • IF-Inference Systems Design for Prediction of Ozone Time Series: The Case of Pardubice Micro-region

    Olej, Vladimír (et al.)

    Pages 1-11

  • Superior-Order Curvature-Corrected Voltage Reference Using a Current Generator

    Popa, Cosmin

    Pages 12-21

  • A Neural Network-Based Method for Affine 3D Registration of FMRI Time Series Using Fourier Space Subsets

    Freire, Luis C. (et al.)

    Pages 22-31

  • Neural Networks Regression Inductive Conformal Predictor and Its Application to Total Electron Content Prediction

    Papadopoulos, Harris (et al.)

    Pages 32-41

  • Prediction of Compaction Characteristics of Granular Soils by Neural Networks

    Kłos, Marzena (et al.)

    Pages 42-45

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-642-15819-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $149.00
price for USA
  • ISBN 978-3-642-15818-6
  • 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 - ICANN 2010
Book Subtitle
20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I
Editors
  • Konstantinos Diamantaras
  • Wlodek Duch
  • Lazaros Iliadis
Series Title
Theoretical Computer Science and General Issues
Series Volume
6352
Copyright
2010
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-15819-3
DOI
10.1007/978-3-642-15819-3
Softcover ISBN
978-3-642-15818-6
Edition Number
1
Number of Pages
XXXI, 587
Number of Illustrations and Tables
227 b/w illustrations
Topics