Multiple Regression Model for Compressive Strength Prediction of High Performance Concrete

Journal of Applied Sciences ◽

10.3923/jas.2009.155.160 ◽

2008 ◽

Vol 9 (1) ◽

pp. 155-160 ◽

Author(s):

M. F.M. Zain ◽

S. M. Abd

Keyword(s):

Compressive Strength ◽

Regression Model ◽

Multiple Regression ◽

High Performance ◽

High Performance Concrete ◽

Multiple Regression Model ◽

Strength Prediction

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High-performance concrete compressive strength prediction using Genetic Weighted Pyramid Operation Tree (GWPOT)

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2013.11.014 ◽

2014 ◽

Vol 29 ◽

pp. 104-113 ◽

Author(s):

Min-Yuan Cheng ◽

Pratama Mahardika Firdausi ◽

Doddy Prayogo

Keyword(s):

Compressive Strength ◽

High Performance ◽

High Performance Concrete ◽

Strength Prediction ◽

Concrete Compressive Strength

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High-performance Concrete Compressive Strength Prediction using Time-Weighted Evolutionary Fuzzy Support Vector Machines Inference Model

Automation in Construction ◽

10.1016/j.autcon.2012.07.004 ◽

2012 ◽

Vol 28 ◽

pp. 106-115 ◽

Author(s):

Min-Yuan Cheng ◽

Jui-Sheng Chou ◽

Andreas F.V. Roy ◽

Yu-Wei Wu

Keyword(s):

Compressive Strength ◽

Support Vector Machines ◽

High Performance ◽

High Performance Concrete ◽

Strength Prediction ◽

Support Vector ◽

Concrete Compressive Strength ◽

Inference Model ◽

Vector Machines ◽

Fuzzy Support Vector Machines

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Two-level and hybrid ensembles of decision trees for high performance concrete compressive strength prediction

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2013.03.014 ◽

2013 ◽

Vol 26 (7) ◽

pp. 1689-1697 ◽

Author(s):

Halil Ibrahim Erdal

Keyword(s):

Compressive Strength ◽

Decision Trees ◽

High Performance ◽

High Performance Concrete ◽

Strength Prediction ◽

Concrete Compressive Strength

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A comparative study on the compressive strength prediction models for High Performance Concrete containing nano silica and copper slag using regression analysis and Artificial Neural Networks

Construction and Building Materials ◽

10.1016/j.conbuildmat.2016.03.214 ◽

2016 ◽

Vol 114 ◽

pp. 528-535 ◽

Author(s):

S. Chithra ◽

S.R.R. Senthil Kumar ◽

K. Chinnaraju ◽

F. Alfin Ashmita

Keyword(s):

Neural Networks ◽

Compressive Strength ◽

Regression Analysis ◽

Artificial Neural Networks ◽

High Performance ◽

Prediction Models ◽

High Performance Concrete ◽

Copper Slag ◽

Strength Prediction ◽

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Compressive strength prediction of high-performance concrete using gradient tree boosting machine

Construction and Building Materials ◽

10.1016/j.conbuildmat.2020.120198 ◽

2020 ◽

Vol 264 ◽

pp. 120198

Author(s):

Mosbeh R. Kaloop ◽

Deepak Kumar ◽

Pijush Samui ◽

Jong Wan Hu ◽

Dongwook Kim

Keyword(s):

Compressive Strength ◽

High Performance ◽

High Performance Concrete ◽

Strength Prediction

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High-Performance Concrete Compressive Strength Prediction Based Weighted Support Vector Machines

International Journal of Engineering Research and Applications ◽

10.9790/9622-0701016875 ◽

2017 ◽

Vol 07 (01) ◽

pp. 68-75 ◽

Author(s):

Rguig Mustapha ◽

EL Aroussi Mohamed

Keyword(s):

Compressive Strength ◽

Support Vector Machines ◽

High Performance ◽

High Performance Concrete ◽

Strength Prediction ◽

Support Vector ◽

Concrete Compressive Strength ◽

Vector Machines

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A hybrid data analytics approach for high-performance concrete compressive strength prediction

Journal of Business Analytics ◽

10.1080/2573234x.2020.1760741 ◽

2020 ◽

Vol 3 (2) ◽

pp. 158-168 ◽

Author(s):

Serhat Simsek ◽

Mehmet Gumus ◽

Mohamed Khalafalla ◽

Tahir Bachar Issa

Keyword(s):

Compressive Strength ◽

Data Analytics ◽

High Performance ◽

High Performance Concrete ◽

Strength Prediction ◽

Concrete Compressive Strength ◽

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Multiple Regression Model for the Prediction of Unconfined Compressive Strength of Jet Grout Columns

Procedia Earth and Planetary Science ◽

10.1016/j.proeps.2015.08.072 ◽

2015 ◽

Vol 15 ◽

pp. 299-303 ◽

Author(s):

Recep Akan ◽

S. Nilay Keskin ◽

Soner Uzundurukan

Keyword(s):

Compressive Strength ◽

Regression Model ◽

Multiple Regression ◽

Unconfined Compressive Strength ◽

Multiple Regression Model

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A comparison of model selection methods for compressive strength prediction of high-performance concrete using neural networks

Computers & Structures ◽

10.1016/j.compstruc.2010.07.003 ◽

2010 ◽

Vol 88 (21-22) ◽

pp. 1248-1253 ◽

Author(s):

Marek Słoński

Keyword(s):

Neural Networks ◽

Compressive Strength ◽

Model Selection ◽

High Performance ◽

High Performance Concrete ◽

Strength Prediction ◽

Selection Methods

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Statistical model for compressive strength prediction of high-performance concrete

Research and Applications in Structural Engineering, Mechanics and Computation ◽

10.1201/b15963-301 ◽

2013 ◽

pp. 627-628 ◽

Keyword(s):

Compressive Strength ◽

Statistical Model ◽

High Performance ◽

High Performance Concrete ◽

Strength Prediction

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