Advances of Computational Intelligence in Industrial Systems

  • Ying Liu
  • Aixin Sun
  • Han Tong Loh
  • Wen Feng Lu
  • Ee-Peng Lim

Part of the Studies in Computational Intelligence book series (SCI, volume 116)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Zakaria Maamar, Quan Z. Sheng, Djamal Benslimane, Philippe Thiran
    Pages 39-55
  3. Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski
    Pages 81-97
  4. Changzhou Wang, Anne Kao, Jai Choi, Rod Tjoelker
    Pages 99-116
  5. Sandro Moretti Correia de Almeida, Lourdes Mattos Brasil, Edilson Ferneda, Hervaldo Sampaio Carvalho, Renata Pariva de Silva
    Pages 169-190
  6. Lawrence Wing-Chi Chan, Phoebe Suk-Tak Chan, Yongping Zheng, Alex Ka-Shing Wong, Ying Liu, Iris Frances Forster Benzie
    Pages 191-212
  7. Rachel Caldwell, Yun Dai, Sheenal Srivastava, Yan-Xia Lin, Ren Zhang
    Pages 213-230
  8. Arthur Plinio Souza de Braga, André Carlos Ponce Leon Ferreira de Carvalho, João Fernando Gomes de Oliveira
    Pages 249-268
  9. David A. Clifton, Lei A. Clifton, Peter R. Bannister, Lionel Tarassenko
    Pages 269-296
  10. Samira Hammiche, Bernardo Lopez, Salima Benbernou, Mohand-Saïd Hacid
    Pages 351-372
  11. Back Matter
    Pages 373-375

About this book

Introduction

Computational Intelligence (CI) has emerged as a rapid growing field over the past decade. Its various techniques have been recognized as powerful tools for intelligent information processing, decision making and knowledge management.

Advances of Computational Intelligence in Industrial Systems reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Section I – Theory and Foundation presents some of the latest developments in CI, e.g. particle swarm optimization, Web services, data mining with privacy protection, kernel methods for text analysis, etc. Section II – Industrial Application covers the CI applications in a wide variety of domains, e.g. clinical decision support, process monitoring for industrial CNC machine, novelty detection for jet engines, ant algorithm for berth allocation, etc.

Such a collection of chapters has presented the state-of-the-art of CI applications in industry and will be an essential resource for professionals and researchers who wish to learn and spot the opportunities in applying CI techniques to their particular problems.

Keywords

Ant algorithm artificial intelligence classification computational intelligence data mining dynamical systems evolution kernel knowledge knowledge management modeling multimedia neural network optimization proving

Editors and affiliations

  • Ying Liu
    • 1
  • Aixin Sun
    • 2
  • Han Tong Loh
    • 3
  • Wen Feng Lu
    • 3
  • Ee-Peng Lim
    • 2
  1. 1.Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHong KongChina
  2. 2.School of Computer EngineeringNanyang Technological UniversitySingapore
  3. 3.Department of Mechanical EngineeringNational University of SingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-78297-1
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-78296-4
  • Online ISBN 978-3-540-78297-1
  • Series Print ISSN 1860-949X
  • About this book