An explainable machine learning model to predict and elucidate the compressive behavior of high-performance concrete-Reference-Cited by-同舟云学术

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An explainable machine learning model to predict and elucidate the compressive behavior of high-performance concrete

Published:2021-09 Issue: Volume:11 Page:100245
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Chakraborty Debaditya^ORCID,Awolusi Ibukun,Gutierrez Lilianna

Publisher

Elsevier BV

Subject

General Engineering

Reference52 articles.

1. Modeling of strength of high-performance concrete using artificial neural networks;Yeh;Cement Concr. Res.,1998

2. Optimizing the prediction accuracy of concrete compressive strength based on a comparison of data-mining techniques;Chou;J. Comput. Civ. Eng.,2011

3. High performance concrete compressive strength forecasting using ensemble models based on discrete wavelet transform;Erdal;Eng. Appl. Artif. Intell.,2013

4. Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength;Chou;Construct. Build. Mater.,2013

5. Machine learning in concrete strength simulations: multi-nation data analytics;Chou;Construct. Build. Mater.,2014

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