Artificial neural networks as a multivariate calibration tool: modeling the FeCrNi system in x-ray fluorescence spectroscopy

A. Bos, M. Bos, W.E. van der Linden

Open source

DOI: 10.1016/0003-2670(93)80441-m
Published: 1993-05
Container: Analytica Chimica Acta
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/0003-2670-93-80441-m,
  title = {Artificial neural networks as a multivariate calibration tool: modeling the FeCrNi system in x-ray fluorescence spectroscopy},
  author = {A. Bos and M. Bos and W.E. van der Linden},
  year = {1993},
  journal = {Analytica Chimica Acta},
  doi = {10.1016/0003-2670(93)80441-m},
  url = {https://doi.org/10.1016/0003-2670(93)80441-m}
}

RIS

TY  - JOUR
TI  - Artificial neural networks as a multivariate calibration tool: modeling the FeCrNi system in x-ray fluorescence spectroscopy
AU  - A. Bos
AU  - M. Bos
AU  - W.E. van der Linden
PY  - 1993
JO  - Analytica Chimica Acta
DO  - 10.1016/0003-2670(93)80441-m
UR  - https://doi.org/10.1016/0003-2670(93)80441-m
ER  -

APA

Bos, A., Bos, M., & Linden, W. V. D. (1993). Artificial neural networks as a multivariate calibration tool: modeling the FeCrNi system in x-ray fluorescence spectroscopy. Analytica Chimica Acta. https://doi.org/10.1016/0003-2670(93)80441-m

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crossref · retrieved 2026-11-06T03:38:30.868Z