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Artificial Intelligence and Soft Computing – ICAISC 2008

9th International Conference Zakopane, Poland, June 22-26, 2008, Proceedings

  • Conference proceedings
  • © 2008
  • Latest edition

Overview

Editors:
  1. Leszek Rutkowski
  2. Ryszard Tadeusiewicz
  3. Lotfi A. Zadeh
  4. Jacek M. Zurada

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5097)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ICAISC 2008.

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About this book

This book constitutes the refereed proceedings of the 9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008, held in Zakopane, Poland, in June 2008. The 116 revised contributed papers presented were carefully reviewed and selected from 320 submissions. The papers are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification, rule discovery and clustering, image analysis, speech and robotics, bioinformatics and medical applications, various problems of artificial intelligence, and agent systems.

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Table of contents (117 papers)

  1. Front Matter

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  2. Neural Networks and Their Applications

    1. Front Matter

      Pages 1-1
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    2. Input Signals Normalization in Kohonen Neural Networks

      • Andrzej Bielecki, Marzena Bielecka, Anna Chmielowiec
      Pages 3-10

    3. Parallel Realisation of the Recurrent RTRN Neural Network Learning

      • Jarosław Bilski, Jacek Smola̧g
      Pages 11-16

    4. Stable Learning Algorithm of Global Neural Network for Identification of Dynamic Complex Systems

      • Jarosław Drapała, Jerzy Świa̧tek, Krzysztof Brzostowski
      Pages 17-27

    5. The Influence of Training Data Availability Time on Effectiveness of ANN Adaptation Process

      • Ewa Dudek-Dyduch, Adrian Horzyk
      Pages 28-39

    6. WWW-Newsgroup-Document Clustering by Means of Dynamic Self-organizing Neural Networks

      • Marian B. Gorzałczany, Filip Rudziński
      Pages 40-51

    7. Municipal Creditworthiness Modelling by Kohonen’s Self-organizing Feature Maps and LVQ Neural Networks

      • Petr Hájek, Vladimír Olej
      Pages 52-61

    8. Fast and Robust Way of Learning the Fourier Series Neural Networks on the Basis of Multidimensional Discrete Fourier Transform

      • Krzysztof Halawa
      Pages 62-70

    9. Accuracy Improvement of Neural Network State Variable Estimator in Induction Motor Drive

      • Jerzy Jelonkiewicz, Andrzej Przybył
      Pages 71-77

    10. Ensemble of Dipolar Neural Networks in Application to Survival Data

      • Małgorzata Krȩtowska
      Pages 78-88

    11. Binary Optimization: On the Probability of a Local Minimum Detection in Random Search

      • Boris Kryzhanovsky, Vladimir Kryzhanovsky
      Pages 89-100

    12. Nonlinear Function Learning Using Radial Basis Function Networks: Convergence and Rates

      • Adam Krzyżak, Dominik Schäfer
      Pages 101-110

    13. Efficient Predictive Control Integrated with Economic Optimisation Based on Neural Models

      • Maciej Ławryńczuk, Piotr Tatjewski
      Pages 111-122

    14. Model-Based Fault Detection and Isolation Using Locally Recurrent Neural Networks

      • Piotr Przystałka
      Pages 123-134

    15. Neural Network in Fast Adaptive Fourier Descriptor Based Leaves Classification

      • Dariusz Puchala, Mykhaylo Yatsymirskyy
      Pages 135-145

    16. Improving the Efficiency of Counting Defects by Learning RBF Nets with MAD Loss

      • Ewaryst Rafajłowicz
      Pages 146-153

    17. Robust MCD-Based Backpropagation Learning Algorithm

      • Andrzej Rusiecki
      Pages 154-163

    18. Some Issues on Intrusion Detection in Web Applications

      • Jaroslaw Skaruz, Franciszek Seredynski
      Pages 164-174

    19. Neural Network Device for Reliability and Functional Analysis of Discrete Transport System

      • Tomasz Walkowiak, Jacek Mazurkiewicz
      Pages 175-185
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