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, J. 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
PublisherSpringer Verlag
Pages223-231
Number of pages9
Volume223
ISBN (Print)9783319009292
DOIs
Publication statusPublished - 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)21945357

Other

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

Fingerprint

Genetic programming
Process monitoring
Infrared spectroscopy
Visualization
Model structures
Industrial applications
Data mining
Feature extraction
Spectroscopy

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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 Soft Computing in Industrial Applications - 17th Online World Conference on Soft Computing in Industrial Applications, Proceedings (Vol. 223, pp. 223-231). (Advances in Intelligent Systems and Computing; Vol. 223). Springer Verlag. https://doi.org/10.1007/978-3-319-00930-8_20

Visualisation of high dimensional data by use of genetic programming : Application to on-line infrared spectroscopy based process monitoring. / Kulcsar, Tibor; Bereznai, Gabor; Sarossy, Gabor; Auer, Robert; Abonyi, J.

Soft Computing in Industrial Applications - 17th Online World Conference on Soft Computing in Industrial Applications, Proceedings. Vol. 223 Springer Verlag, 2014. p. 223-231 (Advances in Intelligent Systems and Computing; Vol. 223).

Research output: Conference contribution

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 Soft Computing in Industrial Applications - 17th Online World Conference on Soft Computing in Industrial Applications, Proceedings. vol. 223, Advances in Intelligent Systems and Computing, vol. 223, Springer Verlag, pp. 223-231, 17th Online World Conference on Soft Computing in Industrial Applications, WSC17, Ostrava, Czech Republic, 12/10/12. https://doi.org/10.1007/978-3-319-00930-8_20
Kulcsar T, Bereznai G, Sarossy G, Auer R, Abonyi J. Visualisation of high dimensional data by use of genetic programming: Application to on-line infrared spectroscopy based process monitoring. In Soft Computing in Industrial Applications - 17th Online World Conference on Soft Computing in Industrial Applications, Proceedings. Vol. 223. Springer Verlag. 2014. p. 223-231. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-00930-8_20
Kulcsar, Tibor ; Bereznai, Gabor ; Sarossy, Gabor ; Auer, Robert ; Abonyi, J. / Visualisation of high dimensional data by use of genetic programming : Application to on-line infrared spectroscopy based process monitoring. Soft Computing in Industrial Applications - 17th Online World Conference on Soft Computing in Industrial Applications, Proceedings. Vol. 223 Springer Verlag, 2014. pp. 223-231 (Advances in Intelligent Systems and Computing).
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