Predicting compressive strength of manufactured-sand concrete using conventional and metaheuristic-tuned artificial neural network-Reference-Cited by-同舟云学术

Predicting compressive strength of manufactured-sand concrete using conventional and metaheuristic-tuned artificial neural network

Published:2022-05 Issue: Volume:194 Page:110993
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Zhao Yinghao,Hu Hesong,Song Chaolin,Wang Zeyu

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference76 articles.

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2. Brief Introduction of Research Status of FRP Reinforced Concrete Beams;Li;Guangzhou Arch.,2021

3. Performance analysis of Levenberg-Marquardt and Steepest Descent algorithms based ANN to predict compressive strength of SIFCON using manufactured sand;Santosh Kumar;Eng. Sci. Technol. Int. J.,2017

4. The alkali-silica reaction in concrete;Swamy,1992

5. Improvement of ANFIS model for prediction of compressive strength of manufactured sand concrete;Ly;Applied Sciences,2019

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