Prediction of compressive strength of nano-silica modified engineering cementitious composites exposed to high temperatures using hybrid deep learning models-Reference-Cited by-同舟云学术

Prediction of compressive strength of nano-silica modified engineering cementitious composites exposed to high temperatures using hybrid deep learning models

Published:2024-05 Issue: Volume:241 Page:122474
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Tanyildizi Harun^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

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1. Deep learning–based prediction of compressive strength of eco-friendly geopolymer concrete;Environmental Science and Pollution Research;2024-06-07

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4. ANN-based predictive mimicker for the constitutive model of engineered cementitious composites (ECC);Construction and Building Materials;2024-03