Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network-Reference-Cited by-同舟云学术

Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network

Published:2011-08 Issue:8 Volume:38 Page:9609-9618
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Atici U.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference34 articles.

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3. ASTM C 39. (2001). Test for compressive strength of cylindrical concrete specimens. West Conshohocken, PA, USA: American Society for Testing and Materials International.

4. ASTM C 618. (1992). Standard specification for fly ash and raw calcined natural Puzzolan for use as a mineral admixture in Portland cement concrete. West Conshohocken, PA, USA: American Society for Testing and Materials International.

5. ASTM C 805. (1997). Test for rebound number of hardened concrete. West Conshohocken, PA, USA: American Society for Testing and Materials International.

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