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Soft Computing in Industrial Applications

Algorithms, Integration, and Success Stories

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Xiao-Zhi Gao

    1. Helsinki University, Espoo, Finland

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  2. António Gaspar-Cunha

    1. University of Minho, Giumaraes, Portugal

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  3. Mario Köppen

    1. Kyushu Inst. of Technology, Fukuoka, Japan

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  4. Gerald Schaefer

    1. Loughborough University, Loughborough, UK

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  5. Jun Wang

    1. The Chinese University of Hong Kong, Hong Kong

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  • The latest of Soft Computing in Industrial Applications
  • Proceedings of the online conference WSC 2009
  • Written by experts in the field

Part of the book series: Advances in Intelligent and Soft Computing (AINSC, volume 75)

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About this book

The 14th onlineWorld Conference on Soft Computing in Industrial Applications provides a unique opportunity for soft computing researchers and practitioners to publish high quality papers and discuss research issues in detail without incurring a huge cost. The conference has established itself as a truly global event on the Internet. The quality of the conference has improved over the years. The WSC14 conference has covered new trends in soft computing to state of the art applications. The conference has also added new features such as community tools, syndication, and multimedia online presentations.

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Keywords

Table of contents (32 papers)

  1. Front Matter

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  2. Soft Computing for Modeling, Control, and Optimization

    1. Front Matter

      Pages 1-1
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    2. Optimization of Co-rotating Twin-Screw Extruders Using Pareto Local Search

      • Cristina Teixeira, José Covas, Thomas Stützle, António Gaspar-Cunha
      Pages 3-10

    3. Efficient Predictive Control Algorithm Based on Fuzzy Hammerstein Models: A Case Study

      • Piotr Marek Marusak
      Pages 11-20

    4. Selection of Points Inside Cutoff Radius by Scanning All Points Sorted in Memory

      • Jan Zidek
      Pages 21-29

    5. Supervised Fuzzy Clustering Based Initialization of Fuzzy Partitions for Decision Tree Induction

      • János Abonyi
      Pages 31-39

    6. Fault Detection of the Tennessee Eastman Process Using Improved PCA and Neural Classifier

      • Mostafa Noruzi Nashalji, Mahdi Aliyari Shoorehdeli, Mohammad Teshnehlab
      Pages 41-50

  4. Soft Computing for Bioinformatics, Knowledge Management, and Data Mining

    1. Front Matter

      Pages 89-89
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    2. Prediction of the hERG Potassium Channel Inhibition Potential with Use of the Artificial Neural Networks

      • Sebastian Polak, Barbara Wiśniowska, Malidi Ahamadi, Aleksander Mendyk
      Pages 91-99

    3. Michigan Style Fuzzy Classification for Gene Expression Analysis

      • Gerald Schaefer, Tomoharu Nakashima
      Pages 101-108

    4. Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach

      • Fernando Mendes, João Duarte, Armando Vieira, António Gaspar-Cunha
      Pages 109-115

    5. Dynamic Time Warping of Segmented Time Series

      • Zoltán Bankó, János Abonyi
      Pages 117-125

    6. Feature Selection Using Combine of Genetic Algorithm and Ant Colony Optimization

      • Mehdi Sadeghzadeh, Mohammad Teshnehlab, Kambiz Badie
      Pages 127-135

  5. Soft Computing for Image and Signal Processing, and Pattern Recognition

    1. Front Matter

      Pages 137-137
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    2. Fully Automatic Boundary Extraction of Coronary Plaque in IVUS Image by Anisotropic Diffusion and T-S Type Fuzzy Inference

      • Takanori Koga, Shohei Ichiyama, Eiji Uchino, Noriaki Suetake, Takafumi Hiro, Masunori Matsuzaki
      Pages 139-147
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Editors and Affiliations

  • Helsinki University, Espoo, Finland

    Xiao-Zhi Gao

  • University of Minho, Giumaraes, Portugal

    António Gaspar-Cunha

  • Kyushu Inst. of Technology, Fukuoka, Japan

    Mario Köppen

  • Loughborough University, Loughborough, UK

    Gerald Schaefer

  • The Chinese University of Hong Kong, Hong Kong

    Jun Wang

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