Comparison of Artificial Neuro Network, Least Squares Support Vector Machine and Partial Least Squares Modelling on NOx Emission

Using Least Squares Support Vector Machine and Polynomial Partial Least Squares Method Quantitative Analysis of Gases in Mines

2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS) ◽

10.1109/bigdatasecurity-hpsc-ids.2019.00034 ◽

2019 ◽

Author(s):

Feng Zhang ◽

xiaojun tang ◽

angxin tong ◽

bin wang ◽

leilei xi ◽

...

Keyword(s):

Support Vector Machine ◽

Quantitative Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Least Squares Method ◽

Support Vector ◽

Partial Least Squares Method

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Estimation of yield and quality of legume and grass mixtures using partial least squares and support vector machine analysis of spectral data

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2019.03.038 ◽

2019 ◽

Vol 162 ◽

pp. 246-253 ◽

Cited By ~ 3

Author(s):

Zhenjiang Zhou ◽

Julien Morel ◽

David Parsons ◽

Sergey V. Kucheryavskiy ◽

Anne-Maj Gustavsson

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Spectral Data ◽

Partial Least Squares ◽

Support Vector ◽

Yield And Quality ◽

Machine Analysis

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Prediction of retention indices for frequently reported compounds of plant essential oils using multiple linear regression, partial least squares, and support vector machine

Journal of Separation Science ◽

10.1002/jssc.201300254 ◽

2013 ◽

Vol 36 (15) ◽

pp. 2464-2471 ◽

Cited By ~ 10

Author(s):

Jun Yan ◽

Jian-Hua Huang ◽

Min He ◽

Hong-Bing Lu ◽

Rui Yang ◽

...

Keyword(s):

Support Vector Machine ◽

Linear Regression ◽

Essential Oils ◽

Multiple Linear Regression ◽

Least Squares ◽

Partial Least Squares ◽

Retention Indices ◽

Support Vector ◽

Plant Essential Oils ◽

Prediction Of Retention

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Prediction of Ion Drift Times for a Proteome-Wide Peptide Set Using Partial Least Squares Regression, Least-Squares Support Vector Machine and Gaussian Process

QSAR & Combinatorial Science ◽

10.1002/qsar.200910075 ◽

2009 ◽

Vol 28 (11-12) ◽

pp. 1386-1393 ◽

Cited By ~ 5

Author(s):

Xiuhong Liu ◽

Jun Liang ◽

Jicai Fan ◽

Zhicai Shang

Keyword(s):

Support Vector Machine ◽

Gaussian Process ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Support Vector ◽

Least Squares Regression ◽

Ion Drift

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Early diagnosis of Alzheimer’s disease based on Partial Least Squares and Support Vector Machine

Expert Systems with Applications ◽

10.1016/j.eswa.2012.07.071 ◽

2013 ◽

Vol 40 (2) ◽

pp. 677-683 ◽

Cited By ~ 27

Author(s):

F. Segovia ◽

J.M. Górriz ◽

J. Ramírez ◽

D. Salas-González ◽

I. Álvarez

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Support Vector Machine ◽

Early Diagnosis ◽

Least Squares ◽

Partial Least Squares ◽

Support Vector

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Prediction of mitochondrial proteins based on genetic algorithm – partial least squares and support vector machine

Amino Acids ◽

10.1007/s00726-006-0465-0 ◽

2007 ◽

Vol 33 (4) ◽

pp. 669-675 ◽

Cited By ~ 33

Author(s):

F. Tan ◽

X. Feng ◽

Z. Fang ◽

M. Li ◽

Y. Guo ◽

...

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Least Squares ◽

Partial Least Squares ◽

Mitochondrial Proteins ◽

Support Vector

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Spectroscopic Determination of Aboveground Biomass in Grasslands Using Spectral Transformations, Support Vector Machine and Partial Least Squares Regression

Sensors ◽

10.3390/s130810027 ◽

2013 ◽

Vol 13 (8) ◽

pp. 10027-10051 ◽

Cited By ~ 32

Author(s):

Miguel Marabel ◽

Flor Alvarez-Taboada

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Partial Least Squares ◽

Aboveground Biomass ◽

Partial Least Squares Regression ◽

Spectroscopic Determination ◽

Support Vector ◽

Least Squares Regression ◽

Spectral Transformations

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Comparison of support vector machine classification to partial least squares dimension reduction with logistic descrimination of hyperspectral data

10.1117/12.463169 ◽

2003 ◽

Author(s):

Machelle Wilson ◽

Susan L. Ustin ◽

David Rocke

Keyword(s):

Support Vector Machine ◽

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Hyperspectral Data ◽

Support Vector ◽

Support Vector Machine Classification

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Prediction of ozone hourly concentrations by support vector machine and kernel extreme learning machine using wavelet transformation and partial least squares methods

Atmospheric Pollution Research ◽

10.1016/j.apr.2020.02.024 ◽

2020 ◽

Vol 11 (6) ◽

pp. 51-60 ◽

Cited By ~ 1

Author(s):

Xiaoqian Su ◽

Junlin An ◽

Yuxin Zhang ◽

Ping Zhu ◽

Bin Zhu

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Partial Least Squares ◽

Extreme Learning Machine ◽

Wavelet Transformation ◽

Support Vector ◽

Kernel Extreme Learning Machine ◽

Learning Machine

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Accuracy improvement of iron ore analysis using laser-induced breakdown spectroscopy with a hybrid sparse partial least squares and least-squares support vector machine model

Journal of Analytical Atomic Spectrometry ◽

10.1039/c8ja00119g ◽

2018 ◽

Vol 33 (8) ◽

pp. 1330-1335 ◽

Cited By ~ 12

Author(s):

Y. M. Guo ◽

L. B. Guo ◽

Z. Q. Hao ◽

Y. Tang ◽

S. X. Ma ◽

...

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Partial Least Squares ◽

Iron Ore ◽

Support Vector Machine Model ◽

Support Vector ◽

Accuracy Improvement ◽

Machine Model ◽

Breakdown Spectroscopy ◽

Laser Induced Breakdown

A hybrid sparse partial least squares and least-squares support vector machine model was proposed to improve the accuracy of iron ore analysis using LIBS.

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