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-Reference-Cited by-同舟云学术

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

Published:2016-07 Issue: Volume:114 Page:528-535
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Chithra S.,Kumar S.R.R. Senthil,Chinnaraju K.,Alfin Ashmita F.

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference40 articles.

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4. Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network;Atici;Expert Syst. Appl.,2011

5. Prediction of efficiency factor of ground – granulated blast – furnace slag of concrete using artificial neural network;Boukhatem;ACI Mater. J.,2011

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