- author = "Tibor Kulcsar and Gabor Bereznai and Gabor Sarossy and Robert Auer and Janos Abonyi",
- title = "Visualisation of High Dimensional Data by Use of Genetic Programming: Application to On-line Infrared Spectroscopy Based Process Monitoring",
- booktitle = "Soft Computing in Industrial Applications",
- publisher = "Springer",
- year = "2014",
- editor = "Vaclav Snasel and Pavel Kroemer and Mario Koeppen and Gerald Schaefer",
- volume = "223",
- series = "Advances in Intelligent Systems and Computing",
- pages = "223--231",
- month = "21 " # nov,
- note = "Proceedings of the 17th Online World Conference on Soft Computing in Industrial Applications",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-3-319-00929-2",
-
DOI = "
doi:10.1007/978-3-319-00930-8_20",
- abstract = "In practical data mining and process monitoring problems high-dimensional data has to be analysed. In most of the cases it is very informative to map and visualise 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.",
-
notes = "http://dap.vsb.cz/wsc17/ WSC17 2012 Online Conference
on Soft Computing in Industrial Applications Anywhere
on Earth, December 10-21, 2012
Author Affiliations Department of Process Engineering, University of Pannonia, Veszprem, H-8200, Hungary MOL Ltd. Duna Refinery, Szazhalombatta, H-2440, Hungary",
