Visualisation of high dimensional data by use of genetic programming: Application to on-line infrared spectroscopy based process monitoring

Tibor Kulcsar, Gabor Bereznai, Gabor Sarossy, Robert Auer, Janos Abonyi

Research output: Conference contribution

Abstract

In practical data mining and process monitoring problems high-dimensional data has to be analyzed. In most of the cases it is very informative to map and visualize the hidden structure of complex data in a low-dimensional space. Industrial applications require easily implementable, interpretable and accurate projection. Nonlinear functions (aggregates) are useful for this purpose. A pair of these functions realise feature selection and transformation but finding the proper model structure is a complex nonlinear optimisation problem. We present a Genetic Programming (GP) based algorithm to generate aggregates represented in a tree structure. Results show that the developed tool can be effectively used to build an on-line spectroscopy based process monitoring system; the two-dimensional mapping of high dimensional spectral database can represent different operating ranges of the process.

Original languageEnglish
Title of host publicationSoft Computing in Industrial Applications - 17th Online World Conference on Soft Computing in Industrial Applications, Proceedings
EditorsVáclav Snášel, Václav Krömer, Gerald Schaefer, Mario Köppen
PublisherSpringer Verlag
Pages223-231
Number of pages9
ISBN (Electronic)9783319009292
DOIs
Publication statusPublished - jan. 1 2014
Event17th Online World Conference on Soft Computing in Industrial Applications, WSC17 - Ostrava, Czech Republic
Duration: dec. 10 2012dec. 21 2012

Publication series

NameAdvances in Intelligent Systems and Computing
Volume223
ISSN (Print)2194-5357

Other

Other17th Online World Conference on Soft Computing in Industrial Applications, WSC17
CountryCzech Republic
CityOstrava
Period12/10/1212/21/12

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Kulcsar, T., Bereznai, G., Sarossy, G., Auer, R., & Abonyi, J. (2014). Visualisation of high dimensional data by use of genetic programming: Application to on-line infrared spectroscopy based process monitoring. In V. Snášel, V. Krömer, G. Schaefer, & M. Köppen (Eds.), Soft Computing in Industrial Applications - 17th Online World Conference on Soft Computing in Industrial Applications, Proceedings (pp. 223-231). (Advances in Intelligent Systems and Computing; Vol. 223). Springer Verlag. https://doi.org/10.1007/978-3-319-00930-8_20