Comparative study between Partial Least Squares and Rational function Ridge Regression models for the prediction of moisture content of woodchip samples using a handheld spectrophotometer-Reference-Cited by-同舟云学术

Comparative study between Partial Least Squares and Rational function Ridge Regression models for the prediction of moisture content of woodchip samples using a handheld spectrophotometer

Published:2021-02-25 Issue:5 Volume:35 Page:
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:Journal of Chemometrics

Author:

Mancini Manuela¹²^ORCID,Taavitsainen Veli‐Matti³,Toscano Giuseppe¹

Affiliation:

1. Agricultural, Food and Environmental Sciences Università Politecnica delle Marche Ancona Italy

2. Department of Food Science, Faculty of Science University of Copenhagen Frederiksberg Denmark

3. Department of Computational Engineering Lappeenranta University of Technology Lappeenranta Finland

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cem.3337

Reference20 articles.

1. Production of Chips from Logging Residues and Their Quality for Energy: A Review of European Literature

2. Review of micro- and small-scale technologies to produce electricity and heat from Mediterranean forests׳ wood chips

3. Physical characterization of commercial woodchips on the Italian energy market

4. MantauU.;SaalU.;PrinsK.;SteiererF.;LindnerM.;VerkerkH.;EggersJ.;LeekN.;OldenburgerJ.;Asikaine A. EU Wood—real potential for changes in growth and use of EU forests. Final Report: Hamburg Germany 2010; p.160. 2010.

5. Maximizing the greenhouse gas reductions from biomass: The role of life cycle assessment

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