How do artificial neural networks (ANNs) compare to partial least squares (PLS) for spectral interference correction in optical emission spectrometry?

Mapping Intimacies ◽

10.1117/12.2177516 ◽

2015 ◽

Cited By ~ 1

Author(s):

Z. Li ◽

X. Zhang ◽

V. Karanassios

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Least Squares ◽

Partial Least Squares ◽

Optical Emission ◽

Spectral Interference ◽

Optical Emission Spectrometry ◽

Emission Spectrometry ◽

Interference Correction ◽

Artificial Neural

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Verification of the performance of Artificial Neural Networks (ANNs) versus Partial Least Squares (PLS) for spectral interference correction in optical emission spectrometry

10.1117/12.2050326 ◽

2014 ◽

Cited By ~ 1

Author(s):

Z. Li ◽

X. Zhang ◽

V. Karanassios

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Least Squares ◽

Partial Least Squares ◽

Optical Emission ◽

Spectral Interference ◽

Optical Emission Spectrometry ◽

Emission Spectrometry ◽

Interference Correction ◽

Artificial Neural

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Artificial neural networks (ANNs) compared to partial least squares (PLS) for spectral interference correction in optical emission spectrometry

10.1117/12.2016253 ◽

2013 ◽

Cited By ~ 1

Author(s):

Z. Li ◽

X. Zhang ◽

Vassili Karanassios

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Least Squares ◽

Partial Least Squares ◽

Optical Emission ◽

Spectral Interference ◽

Optical Emission Spectrometry ◽

Emission Spectrometry ◽

Interference Correction ◽

Artificial Neural

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Development of artificial neural networks for spectral interference correction in optical emission spectrometry

10.1117/12.884341 ◽

2011 ◽

Cited By ~ 1

Author(s):

Z. Li ◽

V. Karanassios

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Optical Emission ◽

Spectral Interference ◽

Optical Emission Spectrometry ◽

Emission Spectrometry ◽

Interference Correction ◽

Artificial Neural

Download Full-text

Further development of artificial neural networks for spectral interference correction in optical emission spectrometry

10.1117/12.919570 ◽

2012 ◽

Cited By ~ 1

Author(s):

Z. Li ◽

S. Huang ◽

V. Karanassios

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Optical Emission ◽

Spectral Interference ◽

Optical Emission Spectrometry ◽

Emission Spectrometry ◽

Interference Correction ◽

Artificial Neural ◽

Further Development

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Artificial neural networks (ANNS) versus partial least squares (PLS) for spectral interference correction for taking part of the lab to the sample types of applications: an experimental study

10.1117/12.2224402 ◽

2016 ◽

Cited By ~ 1

Author(s):

Z. Li ◽

Vassili Karanassios

Keyword(s):

Neural Networks ◽

Experimental Study ◽

Artificial Neural Networks ◽

Least Squares ◽

Partial Least Squares ◽

Spectral Interference ◽

Interference Correction ◽

Artificial Neural

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Authentication of Douro DO monovarietal red wines based on anthocyanin profile: Comparison of partial least squares – discriminant analysis, decision trees and artificial neural networks

Food Control ◽

10.1016/j.foodcont.2021.107979 ◽

2021 ◽

Vol 125 ◽

pp. 107979

Author(s):

Fernanda Cosme ◽

Juliana Milheiro ◽

Joana Pires ◽

Fernanda Isabel Guerra-Gomes ◽

Luís Filipe-Ribeiro ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Discriminant Analysis ◽

Least Squares ◽

Decision Trees ◽

Partial Least Squares ◽

Red Wines ◽

Anthocyanin Profile ◽

Artificial Neural

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Genetic Algorithm Based Potential Selection in Simultaneous Voltammetric Determination of Isoniazid and Hydrazine by Using Partial Least Squares (PLS) and Artificial Neural Networks (ANNs)

Electroanalysis ◽

10.1002/elan.200403204 ◽

2005 ◽

Vol 17 (10) ◽

pp. 915-918 ◽

Cited By ~ 24

Author(s):

Mir Reza Majidi ◽

Abolghasem Jouyban ◽

Karim Asadpour-Zeynali

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Artificial Neural Networks ◽

Least Squares ◽

Partial Least Squares ◽

Voltammetric Determination ◽

Artificial Neural ◽

Simultaneous Voltammetric Determination

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Melt index modeling with support vector machines, partial least squares, and artificial neural networks

Journal of Applied Polymer Science ◽

10.1002/app.20979 ◽

2004 ◽

Vol 95 (4) ◽

pp. 967-974 ◽

Cited By ~ 55

Author(s):

In-Su Han ◽

Chonghun Han ◽

Chang-Bock Chung

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Support Vector Machines ◽

Least Squares ◽

Partial Least Squares ◽

Support Vector ◽

Melt Index ◽

Vector Machines ◽

Artificial Neural

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Artificial neural networks and partial least squares regression for pseudo-first-order with respect to the reagent multicomponent kinetic-spectrophotometric determinations

The Analyst ◽

10.1039/an9962100395 ◽

1996 ◽

Vol 121 (4) ◽

pp. 395-400 ◽

Cited By ~ 31

Author(s):

Marcelo Blanco ◽

Jordi Coello ◽

Hortensia Iturriaga ◽

Santiago Maspoch ◽

Miguel Redón ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Least Squares Regression ◽

First Order ◽

Pseudo First Order ◽

Artificial Neural ◽

Kinetic Spectrophotometric

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Development of models for predicting toxicity from sediment chemistry by partial least squares-discriminant analysis and counter-propagation artificial neural networks

Environmental Pollution ◽

10.1016/j.envpol.2009.08.007 ◽

2010 ◽

Vol 158 (2) ◽

pp. 607-614 ◽

Cited By ~ 25

Author(s):

Manuel Alvarez-Guerra ◽

Davide Ballabio ◽

José Manuel Amigo ◽

Rasmus Bro ◽

Javier R. Viguri

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Discriminant Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Sediment Chemistry ◽

Artificial Neural

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