Noise reduction for near-infrared spectroscopy data using extreme learning machines-Reference-Cited by-同舟云学术

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Noise reduction for near-infrared spectroscopy data using extreme learning machines

Published:2019-03 Issue: Volume:79 Page:13-22
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Henríquez Pablo A.,Ruz Gonzalo A.

Funder

CONICYT-Chile

Research Center Millennium Nucleus Models of Crisis, Chile

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference64 articles.

1. Mid-infrared spectroscopy and authenticity problems in selected meats: a feasibility study;Al-Jowder;Food Chem.,1997

2. Quality evaluation of frozen guava and yellow passion fruit pulps by NIR spectroscopy and chemometrics;Alamar;Food Res. Int.,2016

3. Identification and quantification of turkey meat adulteration in fresh, frozen-thawed and cooked minced beef by ft-nir spectroscopy and chemometrics;Alamprese;Meat Sci.,2016

4. Robust linear programming discrimination of two linearly inseparable sets;Bennett;Optim. Methods Softw.,1992

5. Tracing the origin of extra virgin olive oils by infrared spectroscopy and chemometrics: A case study;Bevilacqua;Anal. Chim. Acta,2012

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