Modeling compressive strength of EPS lightweight concrete using regression, neural network and ANFIS-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Modeling compressive strength of EPS lightweight concrete using regression, neural network and ANFIS

Published:2013-05 Issue: Volume:42 Page:205-216
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Sadrmomtazi A.,Sobhani J.,Mirgozar M.A.

Publisher

Elsevier BV

Subject

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

Reference25 articles.

1. Strength and durability of lightweight concrete;Haque;Cem Concr Comp,2004

2. Structural lightweight aggregate concrete;Clarke,1993

3. ACI 213. Guide for structural lightweight-aggregate concrete. Farmington Hills (MI): American Concrete Institute; 2003.

4. An investigation 481 on effect of using pp fibers and different cementitious materials on mechanical properties of EPS concrete;Sadrmomtazi,2008

5. Neural networks for predicting compressive strength of structural light weight concrete;Alshihri;Constr Build Mater,2009

Cited by 170 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DEVELOPMENT OF PREDICTION MODELS FOR COMPRESSIVE STRENGTH IN CEMENT MORTAR WITH BENTONITE USING MACHINE LEARNING TECHNIQUES;International Journal of 3D Printing Technologies and Digital Industry;2024-08-30

2. A comparative analysis of algorithms on concrete at elevated temperatures;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-08-29

3. Prediction of pull-out behavior of timber glued-in glass fiber reinforced polymer and steel rods under various environmental conditions based on ANN and GEP models;Case Studies in Construction Materials;2024-07

4. Machine learning based prediction models for spilt tensile strength of fiber reinforced recycled aggregate concrete;Case Studies in Construction Materials;2024-07

5. Optimizing machine learning techniques and SHapley Additive exPlanations (SHAP) analysis for the compressive property of self-compacting concrete;Materials Today Communications;2024-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3