Detail publikace

Utilization of raw echellograms in Laser-Induced Breakdown Spectroscopy

Originální název

Utilization of raw echellograms in Laser-Induced Breakdown Spectroscopy

Anglický název

Utilization of raw echellograms in Laser-Induced Breakdown Spectroscopy

Jazyk

en

Originální abstrakt

The presented work shows the comparison of multivariate classifications performances coupled to raw LIBS echellograms (processed using neural networks) and typical LIBS spectra (processed using simple linear algorithms and also neural networks) of different certified reference materials. Utilization of raw echellograms coupled to neural networks yields increased classification accuracy.

Anglický abstrakt

The presented work shows the comparison of multivariate classifications performances coupled to raw LIBS echellograms (processed using neural networks) and typical LIBS spectra (processed using simple linear algorithms and also neural networks) of different certified reference materials. Utilization of raw echellograms coupled to neural networks yields increased classification accuracy.

Dokumenty

BibTex


@misc{BUT128392,
  author="Pavel {Pořízka} and Jakub {Klus} and David {Prochazka} and Jan {Mašek} and Lukáš {Povoda} and Jan {Novotný} and Radim {Burget} and Karel {Novotný} and Jozef {Kaiser}",
  title="Utilization of raw echellograms in Laser-Induced Breakdown Spectroscopy",
  annote="The presented work shows the comparison of multivariate classifications performances coupled to raw LIBS echellograms (processed using neural networks) and typical LIBS spectra (processed using simple linear algorithms and also neural networks) of different certified reference materials. Utilization of raw echellograms coupled to neural networks yields increased classification accuracy.",
  chapter="128392",
  year="2016",
  month="september",
  type="abstract"
}