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

Linear Regression ◽

Surface Temperature ◽

Body Surface ◽

Artificial Neural ◽

Body Surface Temperature ◽

Potential Methods

Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)

Industrial Crops and Products ◽

10.1016/j.indcrop.2018.10.050 ◽

2019 ◽

Vol 127 ◽

pp. 185-194 ◽

Cited By ~ 21

Author(s):

Moslem Abdipour ◽

Mehdi Younessi-Hmazekhanlu ◽

Seyyed Hamid Reza Ramazani ◽

Amir hassan omidi

Keyword(s):

Neural Networks ◽

Linear Regression ◽

Seed Yield ◽

Carthamus Tinctorius ◽

Artificial Neural ◽

Potential Methods

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 ◽

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 ◽

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 ◽

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 ◽

Agroclimatology-Based Yield Model for Carrot Using Multiple Linear Regression and Artificial Neural Networks

Agronomy Journal ◽

10.2134/agronj2012.0237 ◽

2013 ◽

Vol 105 (3) ◽

pp. 863-873 ◽

Cited By ~ 1

Author(s):

Arumugam Thiagarajan ◽

Rajasekaran R. Lada ◽

Sivakami Muthuswamy ◽

Azure Adams

Keyword(s):

Neural Networks ◽

Linear Regression ◽

Yield Model ◽

Cu-doped ZnO nanoparticle for removal of reactive black 5: application of artificial neural networks and multiple linear regression for modeling and optimization

Desalination and Water Treatment ◽

10.1080/19443994.2015.1130658 ◽

2015 ◽

Vol 57 (46) ◽

pp. 22074-22080 ◽

Cited By ~ 12

Author(s):

Kamal Salehi ◽

Hiua Daraei ◽

Pari Teymouri ◽

Behzad Shahmoradi ◽

Afshin Maleki

Keyword(s):

Neural Networks ◽

Linear Regression ◽

Reactive Black 5 ◽

Zno Nanoparticle ◽

Modeling And Optimization ◽

Doped Zno ◽

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

Journal of Chromatography A ◽

10.1016/j.chroma.2012.07.064 ◽

2012 ◽

Vol 1256 ◽

pp. 232-239 ◽

Cited By ~ 20

Author(s):

A.G. Fragkaki ◽

E. Farmaki ◽

N. Thomaidis ◽

A. Tsantili-Kakoulidou ◽

Y.S. Angelis ◽

...

Keyword(s):

Neural Networks ◽

Linear Regression ◽

Least Squares ◽

Partial Least Squares ◽

Anabolic Androgenic Steroids ◽

Relative Retention ◽

Artificial Neural ◽

Androgenic Steroids

The use of artificial neural networks and multiple linear regression in modelling work–health relationships: Translating theory into analytical practice

European Journal of Work and Organizational Psychology ◽

10.1080/13594320902995916 ◽

2010 ◽

Vol 19 (4) ◽

pp. 461-486 ◽

Cited By ~ 9

Author(s):

Maria Karanika-Murray ◽

Tom Cox

Keyword(s):

Neural Networks ◽

Linear Regression ◽

Work Health ◽

Artificial Neural ◽

Analytical Practice