Principal Component Analysis-Ranking as a Variable Selection Method for the Simulation of13C Nuclear Magnetic Resonance Spectra of Xanthones Using Artificial Neural Networks

Nuclear Magnetic Resonance Spectra

Magnetic Resonance ◽

Variable Selection ◽

Principal Component ◽

Selection Method ◽

Variable Selection Method ◽

Principal Component Analysis-Ranking as a Variable Selection Method for the Simulation of13C Nuclear Magnetic Resonance Spectra of Xanthones Using Artificial Neural Networks

QSAR & Combinatorial Science ◽

10.1002/qsar.200630111 ◽

2007 ◽

Vol 26 (6) ◽

pp. 764-772 ◽

Cited By ~ 12

Author(s):

Mehdi Jalali-Heravi ◽

Parviz Shahbazikhah ◽

Behrooz Zekavat ◽

Mazian S. Ardejani

Keyword(s):

Neural Networks ◽

Nuclear Magnetic Resonance Spectra

Magnetic Resonance ◽

Variable Selection ◽

Principal Component ◽

Selection Method ◽

Variable Selection Method ◽

Simulation of 13C nuclear magnetic resonance spectra of lignin compounds using principal component analysis and artificial neural networks

Journal of Magnetic Resonance ◽

10.1016/j.jmr.2004.08.011 ◽

2004 ◽

Vol 171 (1) ◽

pp. 176-185 ◽

Cited By ~ 29

Author(s):

M. Jalali-Heravi ◽

S. Masoum ◽

P. Shahbazikhah

Keyword(s):

Neural Networks ◽

Magnetic Resonance ◽

Principal Component ◽

Component Analysis ◽

Nuclear Magnetic Resonance Spectra ◽

13C Nuclear Magnetic Resonance ◽

Crude oil characterization and correlation by principal component analysis of carbon-13 nuclear magnetic resonance spectra

Analytical Chemistry ◽

10.1021/ac00291a025 ◽

1985 ◽

Vol 57 (14) ◽

pp. 2858-2864 ◽

Cited By ~ 54

Author(s):

Olav M. Kvalheim ◽

Dagfinn W. Aksnes ◽

Trond. Brekke ◽

Magnus O. Eide ◽

Einar. Sletten

Keyword(s):

Magnetic Resonance ◽

Crude Oil ◽

Principal Component ◽

Component Analysis ◽

Nuclear Magnetic Resonance Spectra ◽

Oil Characterization ◽

Magnetic Resonance Spectra ◽

Nuclear Magnetic

Principal component analysis of proton nuclear magnetic resonance spectra of lipoprotein fractions from patients with coronary heart disease and healthy subjects

Scandinavian Journal of Clinical and Laboratory Investigation ◽

10.1080/00365519950185544 ◽

1999 ◽

Vol 59 (5) ◽

pp. 349-360 ◽

Cited By ~ 7

Author(s):

T F Bathen ◽

T Engan ◽

J Krane

Keyword(s):

Nuclear Magnetic Resonance Spectra

Coronary Heart Disease ◽

Heart Disease ◽

Magnetic Resonance ◽

Healthy Subjects ◽

Principal Component ◽

Component Analysis ◽

Proton Nuclear Magnetic Resonance ◽

Descriptive screening and lexicon development of non‐aged artisanal cachaça sensorial profile using principal component analysis and Kohonen artificial neural networks

Journal of Sensory Studies ◽

10.1111/joss.12645 ◽

2021 ◽

Author(s):

Daniela Caetano ◽

Clara M. G. Lima ◽

Ananda L. Sanson ◽

Débora F. Silva ◽

Guilherme Souza Hassemer ◽

...

Keyword(s):

Neural Networks ◽

Principal Component ◽

Component Analysis ◽

Chemical profiling and classification of illicit heroin by principal component analysis, calculation of inter sample correlation and artificial neural networks

Talanta ◽

10.1016/j.talanta.2005.03.041 ◽

2005 ◽

Vol 67 (2) ◽

pp. 360-367 ◽

Cited By ~ 31

Author(s):

P ESSEIVA ◽

F ANGLADA ◽

L DUJOURDY ◽

F TARONI ◽

P MARGOT ◽

...

Keyword(s):

Neural Networks ◽

Principal Component ◽

Component Analysis ◽

Chemical Profiling ◽

Analysis Calculation ◽

Sample Correlation ◽

The simulation of 13C nuclear magnetic resonance spectra of dibenzofurans using multiple linear regression analysis and neural networks

Analytica Chimica Acta ◽

10.1016/0003-2670(95)00581-1 ◽

1996 ◽

Vol 321 (2-3) ◽

pp. 127-135 ◽

Cited By ~ 22

Author(s):

Deborah L. Clouser ◽

Peter C. Jurs

Keyword(s):

Neural Networks ◽

Regression Analysis ◽

Magnetic Resonance ◽

Linear Regression ◽

Multiple Linear Regression ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Nuclear Magnetic Resonance Spectra ◽

13C Nuclear Magnetic Resonance

Prediction of carbon-13 nuclear magnetic resonance chemical shifts by artificial neural networks

Analytical Chemistry ◽

10.1021/ac00034a015 ◽

1992 ◽

Vol 64 (10) ◽

pp. 1157-1164 ◽

Cited By ~ 87

Author(s):

Lawrence S. Anker ◽

Peter C. Jurs

Keyword(s):

Neural Networks ◽

Magnetic Resonance ◽

Chemical Shifts ◽

Artificial Neural ◽

Nuclear Magnetic

2017 4th International Conference on Information Science and Control Engineering (ICISCE) ◽

Short-Term Wind Power Prediction Based on Principal Component Analysis and Elman Artificial Neural Networks

10.1109/icisce.2017.146 ◽

2017 ◽

Cited By ~ 1

Author(s):

Shaung Hu ◽

Ke-Jun Li

Keyword(s):

Neural Networks ◽

Wind Power ◽

Principal Component ◽

Component Analysis ◽

Power Prediction ◽

Short Term ◽

Wind Power Prediction ◽

Identifying DDoS attacks in 4G networks using artificial neural networks and principal component analysis

International Journal of Networking and Virtual Organisations ◽

10.1504/ijnvo.2021.117753 ◽

2021 ◽

Vol 25 (1) ◽

pp. 14

Author(s):

A.G. Nagesha ◽

G. Mahesh ◽

N.A. Gowrishankar

Keyword(s):

Neural Networks ◽

Principal Component ◽

Component Analysis ◽

Ddos Attacks ◽

4G Networks ◽