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Principal component analysis–multivariate adaptive regression splines (PCA-MARS) and back propagation-artificial neural network (BP-ANN) methods for predicting the efficiency of oxidative desulfurization systems using ATR-FTIR spectroscopy

Research article (Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, 2023) · cited 35× · AI/ML
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Principal component analysis–multivariate adaptive regression splines (PCA-MARS) and back propagation-artificial neural network (BP-ANN) methods for predicting the efficiency of oxidative desulfurization systems using ATR-FTIR spectroscopy

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Principal component analysis–multivariate adaptive regression splines (PCA-MARS) and back propagation-artificial neural network (BP-ANN) methods for predicting the efficiency of oxidative desulfurization systems using ATR-FTIR spectroscopy is a scholarly article[1].

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  • Principal component analysis–multivariate adaptive regression splines (PCA-MARS) and back propagation-artificial neural network (BP-ANN) methods for predicting the efficiency of oxidative desulfurization systems using ATR-FTIR spectroscopy's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Principal component analysis–multivariate adaptive regression splines (PCA-MARS) and back propagation-artificial neural network (BP-ANN) methods for predicting the efficiency of oxidative desulfurization systems using ATR-FTIR spectroscopy. Retrieved May 24, 2026, from https://4ort.xyz/entity/principal-component-analysismultivariate-adaptive-regression-splines-pca-mars-and-back-propagation-artificial-neural-net
MLA “Principal component analysis–multivariate adaptive regression splines (PCA-MARS) and back propagation-artificial neural network (BP-ANN) methods for predicting the efficiency of oxidative desulfurization systems using ATR-FTIR spectroscopy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/principal-component-analysismultivariate-adaptive-regression-splines-pca-mars-and-back-propagation-artificial-neural-net.
BibTeX @misc{4ortxyz_principal-component-analysismultivariate-adaptive-regression-splines-pca-mars-and-back-propagation-artificial-neural-net_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Principal component analysis–multivariate adaptive regression splines (PCA-MARS) and back propagation-artificial neural network (BP-ANN) methods for predicting the efficiency of oxidative desulfurization systems using ATR-FTIR spectroscopy}}, year = {2026}, url = {https://4ort.xyz/entity/principal-component-analysismultivariate-adaptive-regression-splines-pca-mars-and-back-propagation-artificial-neural-net}, note = {Accessed: 2026-05-24}}
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