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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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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.

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Table of contents (68 papers)

  1. Neural Networks and Their Applications

    1. Evolving Node Transfer Functions in Deep Neural Networks for Pattern Recognition

      • Dmytro Vodianyk, Przemysław Rokita
      Pages 206-215

    2. A Neural Network Circuit Development via Software-Based Learning and Circuit-Based Fine Tuning

      • Changju Yang, Shyam Prasad Adhikari, Michal Strzelecki, Hyongsuk Kim
      Pages 216-228

  2. Fuzzy Systems and Their Applications

    1. Front Matter

      Pages 229-229
      Download chapter PDF

    2. A Comparative Study of Two Novel Approaches to the Rule-Base Evidential Reasoning

      • Ludmila Dymova, Krzysztof Kaczmarek, Pavel Sevastjanov
      Pages 231-240

    3. STRIPS in Some Temporal-Preferential Extension

      • Krystian Jobczyk, Antoni Ligeza
      Pages 241-252

    4. Geometrical Interpretation of Impact of One Set on Another Set

      • Maciej Krawczak, Grażyna Szkatuła
      Pages 253-262

    5. A Method for Nonlinear Fuzzy Modelling Using Population Based Algorithm with Flexibly Selectable Operators

      • Krystian Łapa, Krzysztof Cpałka, Lipo Wang
      Pages 263-278

    6. Fuzzy Portfolio Diversification with Ordered Fuzzy Numbers

      • Adam Marszałek, Tadeusz Burczyński
      Pages 279-291

    7. Using a Hierarchical Fuzzy System for Traffic Lights Control Process

      • Bartosz Poletajew, Adam Slowik
      Pages 292-301

    8. Hierarchical Fuzzy Logic Systems in Classification: An Application Example

      • Krzysztof Renkas, Adam Niewiadomski
      Pages 302-314

    9. A Bullying-Severity Identifier Framework Based on Machine Learning and Fuzzy Logic

      • Carmen R. Sedano, Edson L. Ursini, Paulo S. Martins
      Pages 315-324

  3. Evolutionary Algorithms and Their Applications

    1. Front Matter

      Pages 325-325
      Download chapter PDF

    2. On the Efficiency of Successful-Parent Selection Framework in the State-of-the-art Differential Evolution Variants

      • Petr Bujok
      Pages 327-336

    3. State Flipping Based Hyper-Heuristic for Hybridization of Nature Inspired Algorithms

      • Robertas Damaševičius, Marcin Woźniak
      Pages 337-346

    4. Improved CUDA PSO Based on Global Topology

      • Joanna Kołodziejczyk, Dariusz Sychel, Aneta Bera
      Pages 347-358

    5. Optimization of Evolutionary Instance Selection

      • Mirosław Kordos
      Pages 359-369

    6. Dynamic Difficulty Adjustment for Serious Game Using Modified Evolutionary Algorithm

      • Ewa Lach
      Pages 370-379

    7. Hybrid Initialization in the Process of Evolutionary Learning

      • Krystian Łapa, Krzysztof Cpałka, Yoichi Hayashi
      Pages 380-393

    8. A Tuning of a Fractional Order PID Controller with the Use of Particle Swarm Optimization Method

      • Krzysztof Oprzędkiewicz, Klaudia Dziedzic
      Pages 394-407

    9. Controlling Population Size in Differential Evolution by Diversity Mechanism

      • Radka Poláková
      Pages 408-417
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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

  • University of California, Berkeley, USA

    Lotfi A. Zadeh

  • University of Louisville, Louisville, USA

    Jacek M. Zurada

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