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Artificial Intelligence and Soft Computing

16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part I

  • Conference proceedings
  • © 2017

Overview

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. University of California, Berkeley, USA

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  6. Jacek M. Zurada

    1. University of Louisville, Louisville, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10245)

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

Included in the following conference series:

Conference proceedings info: ICAISC 2017.

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Table of contents (68 papers)

  1. Front Matter

    Pages I-XXIV
    Download chapter PDF

  2. Neural Networks and Their Applications

    1. Front Matter

      Pages 1-1
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    2. Author Profiling with Classification Restricted Boltzmann Machines

      • Mateusz Antkiewicz, Marcin Kuta, Jacek Kitowski
      Pages 3-13

    3. Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm

      • Jarosław Bilski, Bartosz Kowalczyk, Jacek M. Żurada
      Pages 14-24

    4. Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation

      • Jarosław Bilski, Bogdan M. Wilamowski
      Pages 25-39

    5. Spectral Analysis of CNN for Tomato Disease Identification

      • Alvaro Fuentes, Dong Hyeok Im, Sook Yoon, Dong Sun Park
      Pages 40-51

    6. From Homogeneous Network to Neural Nets with Fractional Derivative Mechanism

      • Zbigniew Gomolka, Ewa Dudek-Dyduch, Yuriy P. Kondratenko
      Pages 52-63

    7. Neurons Can Sort Data Efficiently

      • Adrian Horzyk
      Pages 64-74

    8. Avoiding Over-Detection: Towards Combined Object Detection and Counting

      • Philip T. G. Jackson, Boguslaw Obara
      Pages 75-85

    9. Echo State Networks Simulation of SIR Distributed Control

      • Tibor Kmet, Maria Kmetova
      Pages 86-96

    10. The Study of Architecture MLP with Linear Neurons in Order to Eliminate the “vanishing Gradient” Problem

      • Janusz Kolbusz, Pawel Rozycki, Bogdan M. Wilamowski
      Pages 97-106

    11. Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification

      • Adam Krzyżak, Marian Partyka
      Pages 107-117

    12. Solar Event Classification Using Deep Convolutional Neural Networks

      • Ahmet Kucuk, Juan M. Banda, Rafal A. Angryk
      Pages 118-130

    13. Sequence Learning in Unsupervised and Supervised Vector Quantization Using Hankel Matrices

      • Mohammad Mohammadi, Michael Biehl, Andrea Villmann, Thomas Villmann
      Pages 131-142

    14. Discrete Cosine Transformation as Alternative to Other Methods of Computational Intelligence for Function Approximation

      • Angelika Olejczak, Janusz Korniak, Bogdan M. Wilamowski
      Pages 143-153

    15. Improvement of RBF Training by Removing of Selected Pattern

      • Pawel Rozycki, Janusz Kolbusz, Oleksandr Lysenko, Bogdan M. Wilamowski
      Pages 154-164

    16. Exploring the Solution Space of the Euclidean Traveling Salesman Problem Using a Kohonen SOM Neural Network

      • Ewa Skubalska-Rafajłowicz
      Pages 165-174

    17. Resolution Invariant Neural Classifiers for Dermoscopy Images of Melanoma

      • Grzegorz Surówka, Maciej Ogorzałek
      Pages 175-186

    18. Application of Stacked Autoencoders to P300 Experimental Data

      • Lukáš Vařeka, Tomáš Prokop, Roman Mouček, Pavel Mautner, Jan Štěbeták
      Pages 187-198

    19. NARX Neural Network for Prediction of Refresh Timeout in PIM–DM Multicast Routing

      • Nataliia Vladymyrska, Michał Wróbel, Janusz T. Starczewski, Viktoriia Hnatushenko
      Pages 199-205
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Other volumes

  1. Artificial Intelligence and Soft Computing

  2. Artificial Intelligence and Soft Computing

Keywords

About this book

The two-volume set LNAI 10245 and LNAI 10246 constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2017, held in Zakopane, Poland in June 2017.

The 133 revised full papers presented were carefully reviewed and selected from 274 submissions.  The papers included in the first volume are organized in the following five parts: neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; computer vision, image and speech analysis; and bioinformatics, biometrics and medical applications.

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

  • University of California, Berkeley, USA

    Lotfi A. Zadeh

  • University of Louisville, Louisville, USA

    Jacek M. Zurada

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