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Intelligent Computing Systems

Emerging Application Areas
  • George A. TsihrintzisEmail author
  • Maria Virvou
  • Lakhmi C. Jain
Chapter
  • 645 Downloads
Part of the Studies in Computational Intelligence book series (SCI, volume 627)

Abstract

There are many real-world problems of such high complexity that traditional scientific approaches, based on physical and statistical modeling of the data generation mechanism, do not prove effective. Typically, these problems are characterized by multidimensionality, nonlinearities, chaotic phenomena and the presence of a plethora of degrees of freedom and unknown parameters in the underlying data-generating mechanism.

Keywords

Artificial Immune System Business Process Management Kernel Machine Boiling Water Reactor Small Group Activity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • George A. Tsihrintzis
    • 1
    Email author
  • Maria Virvou
    • 1
  • Lakhmi C. Jain
    • 2
  1. 1.University of PiraeusPiraeusGreece
  2. 2.Faculty of Science and TechnologyData Science Institute, Bournemouth UniversityPooleUK

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