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@PHDTHESIS{Andrassy:59862,
author = {Andrassy, Bernt},
othercontributors = {Pleßmann, Klaus W.},
title = {{A}uswerteverfahren für die intelligente {I}dentifikation
organischer {S}toffe},
address = {Aachen},
publisher = {Publikationsserver der RWTH Aachen University},
reportid = {RWTH-CONV-121607},
pages = {II, 140 S. : graph. Darst.},
year = {2001},
note = {Aachen, Techn. Hochsch., Diss., 2000},
abstract = {One way of identifying organic materia is to employ the
Near Infrared Spectroscopy. This is done by analysing the
absorption spectra of organic compounds in the Near Infrared
by means of multivariate statistics. Existing methods for
the analysis of organic materia need to be calibrated for
every application. In this document an analysis method is
described which adapts itself automatically to the organic
materia to be identified. This automatic calibration system
is called IntellIdent. It enables users even without
experience to solve varying identification tasks concerning
organic materia. It can therefore be employed in the field
of sorting organic materia. IntellIdent uses the chemical
similarity of organic compounds calculating global factors
by means of the factor analysis. With these global factors
the spectrum of almost every organic compound can be
reconstructed. A selection process for the three optimal
factors for an actual application is introduced. The
position of the spectra in the factor space created by these
three optimal factors is analysed employing the Mahalanobis
Distance. IntellIdent is tested analysing different sorts of
plastics, paper, wood and plants as well as contaminated
soil.},
cin = {400000},
ddc = {540},
cid = {$I:(DE-82)400000_20140620$},
typ = {PUB:(DE-HGF)11},
urn = {urn:nbn:de:hbz:82-opus-1639},
url = {https://publications.rwth-aachen.de/record/59862},
}