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

Mapping Intimacies ◽

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

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

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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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) 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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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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Artificial Neural Networks (ANNs) for Spectral Interference Correction Using a Large-Size Spectrometer and ANN-Based Deep Learning for a Miniature One

Advanced Applications for Artificial Neural Networks ◽

10.5772/intechopen.71039 ◽

2018 ◽

Cited By ~ 5

Author(s):

Z. Li ◽

X. Zhang ◽

G. A. Mohua ◽

Vassili Karanassios

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Deep Learning ◽

Spectral Interference ◽

Large Size ◽

Interference Correction ◽

Artificial Neural

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Potential of Solid Sampling Electrothermal Vaporization for solving spectral interference in Inductively Coupled Plasma Optical Emission Spectrometry

Spectrochimica Acta Part B Atomic Spectroscopy ◽

10.1016/j.sab.2009.04.002 ◽

2009 ◽

Vol 64 (5) ◽

pp. 363-368 ◽

Cited By ~ 11

Author(s):

Alemayehu Asfaw ◽

Grethe Wibetoe

Keyword(s):

Inductively Coupled Plasma ◽

Optical Emission ◽

Spectral Interference ◽

Optical Emission Spectrometry ◽

Emission Spectrometry ◽

Solid Sampling ◽

Electrothermal Vaporization ◽

Inductively Coupled ◽

Plasma Optical Emission Spectrometry

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Correction of spectral interference of calcium in sulfur determination by inductively coupled plasma optical emission spectrometry using multiple linear regression

Journal of Analytical Atomic Spectrometry ◽

10.1039/b109073a ◽

2002 ◽

Vol 17 (2) ◽

pp. 104-108 ◽

Cited By ~ 7

Author(s):

Harri Kola ◽

Paavo Perämäki ◽

Ilkka Välimäki

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Inductively Coupled Plasma ◽

Optical Emission ◽

Spectral Interference ◽

Optical Emission Spectrometry ◽

Emission Spectrometry ◽

Inductively Coupled ◽

Plasma Optical Emission Spectrometry ◽

Sulfur Determination

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Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Cited By ~ 1

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Artificial Neural

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Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Artificial Neural

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