Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete
المؤلفون المشاركون
Khan, Kaffayatullah
Amin, Muhammad Nasir
Aslam, Fahid
Farooq, Furqan
Waheed, Abdul
Akbar, Arslan
Javed, Muhammad Faisal
Alyousef, Rayed
Alabdulijabbar, Hisham
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-23، 23ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-26
دولة النشر
مصر
عدد الصفحات
23
التخصصات الرئيسية
الملخص EN
The experimental design of high-strength concrete (HSC) requires deep analysis to get the target strength.
In this study, machine learning approaches and artificial intelligence python-based approaches have been utilized to predict the mechanical behaviour of HSC.
The data to be used in the modelling consist of several input parameters such as cement, water, fine aggregate, and coarse aggregate in combination with a superplasticizer.
Empirical relation with mathematical expression has been proposed using engineering programming.
The efficiency of the models is assessed by statistical analysis with the error by using MAE, RRMSE, RSE, and comparisons were made between regression models.
Moreover, variable intensity and correlation have shown that deep learning can be used to know the exact amount of materials in civil engineering rather than doing experimental work.
The expression tree, as well as normalization of the graph, depicts significant accuracy between target and output values.
The results reveal that machine learning proposed adamant accuracy and has elucidated performance in the prediction aspect.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Aslam, Fahid& Farooq, Furqan& Amin, Muhammad Nasir& Khan, Kaffayatullah& Waheed, Abdul& Akbar, Arslan…[et al.]. 2020. Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-23.
https://search.emarefa.net/detail/BIM-1123975
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Aslam, Fahid…[et al.]. Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete. Advances in Civil Engineering No. 2020 (2020), pp.1-23.
https://search.emarefa.net/detail/BIM-1123975
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Aslam, Fahid& Farooq, Furqan& Amin, Muhammad Nasir& Khan, Kaffayatullah& Waheed, Abdul& Akbar, Arslan…[et al.]. Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-23.
https://search.emarefa.net/detail/BIM-1123975
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1123975
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر