Artificial Neural Networks in Multivariate Calibration-Reference-Cited by-同舟云学术

Artificial Neural Networks in Multivariate Calibration

Published:1993-01 Issue:1 Volume:1 Page:1-11
ISSN:0967-0335
Container-title:Journal of Near Infrared Spectroscopy
language:en
Short-container-title:Journal of Near Infrared Spectroscopy

Author:

Næs Tormod¹,Kvaal Knut¹,Isaksson Tomas¹,Miller Charles¹

Affiliation:

1. MATFORSK—Norwegian Food Research Institute, Osloveien 1, N-1430 Ås, Norway

Abstract

This paper is about the use of artificial neural networks for multivariate calibration. We discuss network architecture and estimation as well as the relationship between neural networks and related linear and non-linear techniques. A feed-forward network is tested on two applications of near infrared spectroscopy, both of which have been treated previously and which have indicated non-linear features. In both cases, the network gives more precise prediction results than the linear calibration method of PCR.

Publisher

SAGE Publications

Subject

Spectroscopy

Link

http://journals.sagepub.com/doi/pdf/10.1255/jnirs.1

Reference16 articles.

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3. McClure W.F., Maha H. and Junichi S., in Making Light Work: Advances in Near Infrared Spectroscopy. (Ed. by Murray I. and Cowe I.). VCH, Weinheim, pp. 200–209 (1992).

4. Barron A.R. and Barron R.L., in Computing Science and Statistics, Proceedings of the 21st Symposium on the Interface. American Statistical Association, Alexandria, VA, pp. 192–203 (1988).

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