An empirical approach to update multivariate regression models intended for routine industrial use-Reference-Cited by-同舟云学术

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An empirical approach to update multivariate regression models intended for routine industrial use

Published:2000-11 Issue:14 Volume:79 Page:1823-1832
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Garcı́a-Mencı́a M.V,Andrade J.M,López-Mahı́a P,Prada D

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference41 articles.

1. Characterization and identification of edible oil blends and prediction of the composition by artificial neural networks - a case study

2. Applicability of high-absorbance MIR spectroscopy in industrial quality control of reformed gasolines

3. Pattern recognition of jet fuel chromatographic data by artificial neural networks with back-propagation of error

4. ISO 25 Guide.General requirements for the competence of calibration and testing laboratories. ISO, CH-1211, Geneva 20, 1990, Switzerland.

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