Using GA - BP Coupling Algorithm to Predict the High-performance Concrete Mechanical Property
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12205-022-0912-9.pdf
Reference54 articles.
1. Abuodeh OR, Abdalla JA, Hawileh RA (2020) Assessment of compression strength of Ultra-High-Performance Concrete using deep machine learning techniques. Applied Soft Computing 95:106552, DOI: https://doi.org/10.1016/j.asoc.2020.106552
2. Ahmad AS, Hassan MY, Abdullah M P, Rahman H A, Hussin F, Abdullah H, Saidur R (2014) A review on applications of ANN and SVM for building electrical energy consumption forecasting. Renewable and Sustainable Energy Reviews 33:102–109, DOI: https://doi.org/10.1016/j.rser.2014.01.069
3. Aïtcin PC (1998) High performance concrete. CRC press
4. Alshihri MM, Azmy AM, El-Bisy MS (2009) Neural networks for predicting compression strength of structural light weight concrete. Construction and Building Materials 23(6):2214–2219, DOI: https://doi.org/10.1016/j.conbuildmat.2008.12.003
5. Asteris PG, Mokos VG (2020) Concrete compression strength using artificial neural networks. Neural Computing and Applications 32(15):11807–11826, DOI: https://doi.org/10.1007/s00521-019-04663-2
Cited by 5 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. Study on hysteresis performance of four-limb CFST latticed column-box girder joints based on GA-BP neural network;Structures;2024-09
2. Performance evaluation of conductive materials in conductive mortar based on machine learning;Journal of Building Engineering;2024-09
3. Optimized Design of Low-Carbon Mix Ratio for Non-Dominated Sorting Genetic Algorithm II Concrete Based on Genetic Algorithm-Improved Back Propagation;Materials;2024-08-16
4. Valorization of waste concrete powder (WCP) through silica fume incorporation to enhance the reactivity and hydration characteristics;Developments in the Built Environment;2023-12
5. Study on the Reactivity Activation of Coal Gangue for Efficient Utilization;Materials;2023-09-21
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