Publication detail

Identification of bacteria strains via advanced methods for the statistical processing of near-infrared spectra

KŘEPELKA, P.

Original Title

Identification of bacteria strains via advanced methods for the statistical processing of near-infrared spectra

English Title

Identification of bacteria strains via advanced methods for the statistical processing of near-infrared spectra

Type

conference paper

Language

en

Original Abstract

Based on interpretation of NIR bands, chemical compounds can be determined or quantified. The classification is carried out by means of traditional chemometric methods such as principal component analysis and partial least squares regression. The authors also introduce other processing methods, for example the artificial neural net and fuzzy logic techniques.

English abstract

Based on interpretation of NIR bands, chemical compounds can be determined or quantified. The classification is carried out by means of traditional chemometric methods such as principal component analysis and partial least squares regression. The authors also introduce other processing methods, for example the artificial neural net and fuzzy logic techniques.

Keywords

NIR, PCA, PLS, neuro, fuzzy, interpretation

RIV year

2013

Released

15.08.2013

Publisher

The Electromagnetics Academy

ISBN

978-1-934142-26-4

Book

Proceedings of PIERS 2013 in Stockholm

Pages from

910

Pages to

914

Pages count

4

URL

BibTex


@inproceedings{BUT99528,
  author="Pavel {Křepelka}",
  title="Identification of bacteria strains via advanced methods for the statistical processing of near-infrared spectra",
  annote="Based on interpretation of NIR bands, chemical compounds can be determined or quantified. The classification is carried out by means of traditional chemometric methods such as principal component analysis and partial least squares regression. The authors also introduce other processing methods, for example the artificial neural net and fuzzy logic techniques.",
  address="The Electromagnetics Academy",
  booktitle="Proceedings of PIERS 2013 in Stockholm",
  chapter="99528",
  howpublished="online",
  institution="The Electromagnetics Academy",
  year="2013",
  month="august",
  pages="910--914",
  publisher="The Electromagnetics Academy",
  type="conference paper"
}