Prediction of concrete compressive strength: Research on hybrid models genetic based algorithms and ANFIS
Author:
Publisher
Elsevier BV
Subject
General Engineering,Software
Reference25 articles.
1. Modeling of strength of high-performance concrete using artificial neural networks;Yeh;Cem Concr Res,1998
2. A new way of prediction elastic modulus of normal and high strength concrete—fuzzy logic;Demir;Cem Concr Res,2005
3. Genetic algorithm in mix proportioning of high-performance concrete;Lim;Cem Concr Res,2004
4. Fuzzy logic model for the prediction of cement compressive strength;Akkurt;Cem Concr Res,2004
5. Adaptive network–fuzzy inferencing to estimate concrete strength using mix design;Tesfamariam;J Mater Civil Eng,2007
Cited by 162 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. Mechanical Property Prediction in Silica Fume and Crumb Rubber–Modified Concrete: Soft Computing and Experimental Approach;Practice Periodical on Structural Design and Construction;2024-11
2. Determination of concrete compressive strength from surface images with the integration of CNN and SVR methods;Measurement;2024-10
3. 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
4. Artificial Neural Network Application in Construction and the Built Environment: A Bibliometric Analysis;Buildings;2024-08-06
5. A systematic literature review of AI-based prediction methods for self-compacting, geopolymer, and other eco-friendly concrete types: Advancing sustainable concrete;Construction and Building Materials;2024-08
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