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Adaptive and Natural Computing Algorithms

9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Mikko Kolehmainen

    1. Department of Environmental Sciences, University of Kuopio, Kuopio, Finland

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  2. Pekka Toivanen

    1. Department of Computer Science, University of Kuopio, Kuopio, Finland

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    You can also search for this editor in PubMed   Google Scholar

  3. Bartlomiej Beliczynski

    1. Institute of Control and Industrial Electronics, Warsaw University of Technology, Warszawa, Poland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5495)

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

Included in the following conference series:

Conference proceedings info: ICANNGA 2009.

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Table of contents (63 papers)

  1. Front Matter

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  2. Neural Networks

    1. Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation

      • Adrian Horzyk
      Pages 1-10

    2. On Tractability of Neural-Network Approximation

      • Paul C. Kainen, Věra Kůrková, Marcello Sanguineti
      Pages 11-21

    3. Handling Incomplete Data Using Evolution of Imputation Methods

      • Pawel Zawistowski, Maciej Grzenda
      Pages 22-31

    4. Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping

      • Paavo Nieminen, Tommi Kärkkäinen
      Pages 32-41

    5. Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons

      • Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey
      Pages 42-51

    6. Some Enhancements to Orthonormal Approximation of 2D Functions

      • Bartlomiej Beliczynski
      Pages 52-61

    7. Shortest Common Superstring Problem with Discrete Neural Networks

      • D. López-Rodríguez, E. Mérida-Casermeiro
      Pages 62-71

    8. A Methodology for Developing Nonlinear Models by Feedforward Neural Networks

      • Henrik Saxén, Frank Pettersson
      Pages 72-78

    9. A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models

      • Maciej Ławryńczuk
      Pages 79-88

    10. Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models

      • Maciej Ławryńczuk
      Pages 89-98

    11. Parallel Implementations of Recurrent Neural Network Learning

      • Uroš Lotrič, Andrej Dobnikar
      Pages 99-108

    12. Growing Competitive Network for Tracking Objects in Video Sequences

      • J. M. Ortiz-de-Lazcano-Lobato, R. M. Luque, D. López-Rodríguez, E. J. Palomo
      Pages 109-118

    13. Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps

      • Mika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Reijo Kuivalainen, Yrjö Hiltunen
      Pages 119-129

    14. Network Security Using Growing Hierarchical Self-Organizing Maps

      • E. J. Palomo, E. Domínguez, R. M. Luque, J. Muñoz
      Pages 130-139

    15. On Document Classification with Self-Organising Maps

      • Jyri Saarikoski, Kalervo Järvelin, Jorma Laurikkala, Martti Juhola
      Pages 140-149
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  1. Adaptive and Natural Computing Algorithms

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Editors and Affiliations

  • Department of Environmental Sciences, University of Kuopio, Kuopio, Finland

    Mikko Kolehmainen

  • Department of Computer Science, University of Kuopio, Kuopio, Finland

    Pekka Toivanen

  • Institute of Control and Industrial Electronics, Warsaw University of Technology, Warszawa, Poland

    Bartlomiej Beliczynski

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