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Computational Intelligence in Industrial Applications

  • Ekaterina Vladislavleva
  • Guido Smits
  • Mark Kotanchek

Abstract

In this chapter, we review the progress and the impact of computational intelligence for industrial applications sampled from the last 10 Open image in new window years of our personal careers and areas of research (all authors of this chapter do computational modeling for a living). This chapter is structured as follows. Section 57.2 introduces a classification of data-driven predictive analytics problems into three groups based on the goals and the information content of the data. Section 57.3 briefly covers most frequently used methods for predictive modeling and compares them in the context of available a priori knowledge and required execution time. Section 57.4 focuses on the importance of good workflows for successful predictive analytics projects. Section 57.5 provides several examples of such workflows. Section 57.6 concludes the chapter.

Keywords

Computational Intelligence Support Vector Regression Distillation Column Research Analytic Predictive Analytic 
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.
CI

computational intelligence

SVM

support vector machine

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Ekaterina Vladislavleva
    • 1
  • Guido Smits
    • 2
  • Mark Kotanchek
    • 3
  1. 1.Evolved Analytics Europe BVBATurnhoutBelgium
  2. 2.Core R&DDow Benelux BVNM HoekNetherlands
  3. 3.Evolved Analytics LLCMidlandUSA

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