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  • Conference proceedings
  • © 2010

Artificial Neural Networks - ICANN 2010

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

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6352)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Conference series link(s): ICANN: International Conference on Artificial Neural Networks

Conference proceedings info: ICANN 2010.

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Table of contents (75 papers)

  1. Front Matter

  2. ANN Applications

    1. Modelling Power Output at Nuclear Power Plant by Neural Networks

      • Jaakko Talonen, Miki Sirola, Eimontas Augilius
      Pages 46-49
    2. Prediction of Power Consumption for Small Power Region Using Indexing Approach and Neural Network

      • Krzysztof Siwek, Stanisław Osowski, Bartosz Swiderski, Lukasz Mycka
      Pages 54-59
    3. Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks

      • David Martínez-Rego, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
      Pages 60-66
  3. Bayesian ANN

    1. Discovery of Exogenous Variables in Data with More Variables Than Observations

      • Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio, Teppei Shimamura, Seiya Imoto
      Pages 67-76
    2. An Incremental Bayesian Approach for Training Multilayer Perceptrons

      • Dimitris Tzikas, Aristidis Likas
      Pages 87-96
    3. Globally Optimal Structure Learning of Bayesian Networks from Data

      • Kobra Etminani, Mahmoud Naghibzadeh, Amir Reza Razavi
      Pages 101-106
  4. Bio Inspired – Spiking ANN

    1. Cell Microscopic Segmentation with Spiking Neuron Networks

      • Boudjelal Meftah, Olivier Lezoray, Michel Lecluse, Abdelkader Benyettou
      Pages 117-126
    2. Investigation of Brain-Computer Interfaces That Apply Sound-Evoked Event-Related Potentials

      • Masumi Kogure, Shuichi Matsuzaki, Yasuhiro Wada
      Pages 127-134
    3. Functional Connectivity Driven by External Stimuli in a Network of Hierarchically Organized Neural Modules

      • Vladyslav Shaposhnyk, Pierre Dutoit, Stephen Perrig, Alessandro E. P. Villa
      Pages 135-144

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.

Keywords

  • CUDA
  • EEG
  • Hidden Markov Model
  • Markov Model
  • algorithms
  • artificial intelligence
  • bayesian neural networks
  • biomedical neural networks
  • biometrics
  • brain-computer interfaces
  • classification
  • computational neuroscience
  • dimensionality reduction
  • evolutionary algorithm
  • filtering
  • algorithm analysis and problem complexity

Editors and Affiliations

  • Department of Informatics, TEI of Thessaloniki, Sindos, Greece

    Konstantinos Diamantaras

  • School of Physics, Astronomy, and Informatics, Department of Informatics, Nicolaus Copernicus University, Torun, Poland

    Wlodek Duch

  • Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, Orestiada, Greece

    Lazaros S. Iliadis

Bibliographic Information

Buying options

eBook USD 84.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions