Comparison of multiple linear regression, partial least squares and artificial neural networks for prediction of gas chromatographic relative retention times of trimethylsilylated anabolic androgenic steroids

Linear Regression ◽

Least Squares ◽

Partial Least Squares ◽

Anabolic Androgenic Steroids ◽

Relative Retention ◽

Artificial Neural ◽

Androgenic Steroids

Gas chromatographic quantitative structure–retention relationships of trimethylsilylated anabolic androgenic steroids by multiple linear regression and partial least squares

Journal of Chromatography A ◽

10.1016/j.chroma.2009.09.066 ◽

2009 ◽

Vol 1216 (47) ◽

pp. 8404-8420 ◽

Cited By ~ 26

Author(s):

A.G. Fragkaki ◽

A. Tsantili-Kakoulidou ◽

Y.S. Angelis ◽

M. Koupparis ◽

C. Georgakopoulos

Keyword(s):

Linear Regression ◽

Quantitative Structure Retention Relationships

Least Squares ◽

Partial Least Squares ◽

Anabolic Androgenic Steroids ◽

Quantitative Structure ◽

Structure Retention ◽

Androgenic Steroids ◽

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 ◽

Discriminant Analysis ◽

Least Squares ◽

Decision Trees ◽

Partial Least Squares ◽

Red Wines ◽

Anthocyanin Profile ◽

Modeling daily chlorophyll a dynamics in a German lowland river using artificial neural networks and multiple linear regression approaches

Limnology ◽

10.1007/s10201-013-0412-1 ◽

2013 ◽

Vol 15 (1) ◽

pp. 47-56 ◽

Cited By ~ 22

Author(s):

Naicheng Wu ◽

Jiacong Huang ◽

Britta Schmalz ◽

Nicola Fohrer

Keyword(s):

Neural Networks ◽

Linear Regression ◽

Chlorophyll A ◽

Lowland River ◽

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 ◽

Simultaneous Voltammetric Determination

Least Squares ◽

Partial Least Squares ◽

Voltammetric Determination ◽

Artificial Neural ◽

Short-Term Load Forecasting using Artificial Neural Networks and Multiple Linear Regression

2019 IEEE PES/IAS PowerAfrica ◽

10.1109/powerafrica.2019.8928857 ◽

2019 ◽

Author(s):

Sahil Govender ◽

Komla A Folly

Keyword(s):

Neural Networks ◽

Linear Regression ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting ◽

Artificial neural networks and multiple linear regression as potential methods for modelling body surface temperature of pig

Journal of Applied Animal Research ◽

10.1080/09712119.2020.1761818 ◽

2020 ◽

Vol 48 (1) ◽

pp. 207-219

Author(s):

Jayanta Kumar Basak ◽

Frank Gyan Okyere ◽

Elanchezhian Arulmozhi ◽

Jihoon Park ◽

Fawad Khan ◽

...

Keyword(s):

Neural Networks ◽

Linear Regression ◽

Surface Temperature ◽

Body Surface ◽

Artificial Neural ◽

Body Surface Temperature ◽

Potential Methods

Optimization of artificial neural networks for prediction of the unit cell parameters in orthorhombic perovskites. Comparison with multiple linear regression

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/s0169-7439(03)00092-3 ◽

2003 ◽

Vol 67 (2) ◽

pp. 167-174 ◽

Cited By ~ 22

Author(s):

Igor Kuzmanovski ◽

Slobotka Aleksovska

Keyword(s):

Neural Networks ◽

Linear Regression ◽

Unit Cell ◽

Unit Cell Parameters ◽

Cell Parameters ◽

Forecasting of wind speed using multiple linear regression and artificial neural networks

Energy Systems ◽

10.1007/s12667-019-00338-y ◽

2019 ◽

Vol 11 (4) ◽

pp. 935-946 ◽

Cited By ~ 2

Author(s):

Soukaina Barhmi ◽

Omkaltoume Elfatni ◽

Ismail Belhaj

Keyword(s):

Neural Networks ◽

Wind Speed ◽

Linear Regression ◽

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 ◽

Support Vector Machines ◽

Least Squares ◽

Partial Least Squares ◽

Support Vector ◽

Melt Index ◽

Vector Machines ◽

Multiple Linear Regression and Artificial Neural Networks to Predict Time and Efficiency of Soil Vapor Extraction

Water Air & Soil Pollution ◽

10.1007/s11270-014-2058-y ◽

2014 ◽

Vol 225 (8) ◽

Cited By ~ 2

Author(s):

José Tomás Albergaria ◽

F. G. Martins ◽

M. C. M. Alvim-Ferraz ◽

C. Delerue-Matos

Keyword(s):

Neural Networks ◽

Linear Regression ◽

Soil Vapor Extraction ◽

Vapor Extraction ◽