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Artificial Intelligence and Soft Computing

11th International Conference, ICAISA 2012, Zakopane, Poland, April 29 - 3 May, 2012, Proceedings, Part I

  • Conference proceedings
  • © 2012

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Editors:
  1. Leszek Rutkowski

    1. Częstochowa University of Technology, Częstochowa, Poland

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  2. Marcin Korytkowski

    1. Częstochowa University of Technology, Częstochowa, Poland

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  3. Rafał Scherer

    1. Częstochowa University of Technology, Częstochowa, Poland

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  4. Ryszard Tadeusiewicz

    1. AGH University of Science and Technology, Kraków, Poland

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  5. Lotfi A. Zadeh

    1. Department of Electrical Engineering and Computer Sciences, Computer Science Division, University of California Berkeley, Berkeley, USA

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  6. Jacek M. Zurada

    1. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, Louisville, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7267)

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

Included in the following conference series:

Conference proceedings info: ICAISC 2012.

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About this book

The two-volume set LNAI 7267 and LNCS 7268 (together with LNCS 7269) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence.

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Table of contents (80 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. Neural Network-Based PCA: An Application to Approximation of a Distributed Parameter System

      • Krzysztof Bartecki
      Pages 3-11

    3. Parallel Realisation of the Recurrent Multi Layer Perceptron Learning

      • Jarosław Bilski, Jacek Smoląg
      Pages 12-20

    4. An Innovative Hybrid Neuro-wavelet Method for Reconstruction of Missing Data in Astronomical Photometric Surveys

      • Giacomo Capizzi, Christian Napoli, Lucio Paternò
      Pages 21-29

    5. Speeding Up the Training of Neural Networks with CUDA Technology

      • Daniel Salles Chevitarese, Dilza Szwarcman, Marley Vellasco
      Pages 30-38

    6. On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment

      • Meng Joo Er, Piotr Duda
      Pages 39-46

    7. On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment

      • Piotr Duda, Yoichi Hayashi, Maciej Jaworski
      Pages 47-54

    8. On the Strong Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Time-Varying Noise

      • Piotr Duda, Marcin Korytkowski
      Pages 55-62

    9. Incidental Neural Networks as Nomograms Generators

      • Bogumił Fiksak, Maciej Krawczak
      Pages 63-71

    10. Selection of Activation Functions in the Last Hidden Layer of the Multilayer Perceptron

      • Krzysztof Halawa
      Pages 72-80

    11. Information Freedom and Associative Artificial Intelligence

      • Adrian Horzyk
      Pages 81-89

    12. On the Application of the Parzen-Type Kernel Regression Neural Network and Order Statistics for Learning in a Non-stationary Environment

      • Maciej Jaworski, Meng Joo Er, Lena Pietruczuk
      Pages 90-98

    13. On Learning in a Time-Varying Environment by Using a Probabilistic Neural Network and the Recursive Least Squares Method

      • Maciej Jaworski, Marcin Gabryel
      Pages 99-110

    14. Binary Perceptron Learning Algorithm Using Simplex-Method

      • Vladimir Kryzhanovskiy, Irina Zhelavskaya, Jakov Karandashev
      Pages 111-118

    15. Objects Auto-selection from Stereo-Images Realised by Self-Correcting Neural Network

      • Łukasz Laskowski
      Pages 119-125

    16. On-Line Trajectory-Based Linearisation of Neural Models for a Computationally Efficient Predictive Control Algorithm

      • Maciej Ławryńczuk
      Pages 126-134

    17. Short Time Series of Website Visits Prediction by RBF Neural Networks and Support Vector Machine Regression

      • Vladimir Olej, Jana Filipova
      Pages 135-142

    18. Spectra of the Spike-Flow Graphs in Geometrically Embedded Neural Networks

      • Jarosław Piersa, Tomasz Schreiber
      Pages 143-151

    19. Weak Convergence of the Parzen-Type Probabilistic Neural Network Handling Time-Varying Noise

      • Lena Pietruczuk, Meng Joo Er
      Pages 152-159
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Other volumes

  1. Artificial Intelligence and Soft Computing

  2. Artificial Intelligence and Soft Computing

Editors and Affiliations

  • Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer

  • AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  • Department of Electrical Engineering and Computer Sciences, Computer Science Division, University of California Berkeley, Berkeley, USA

    Lotfi A. Zadeh

  • Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, Louisville, USA

    Jacek M. Zurada

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