Evaluation of Strength & Components of ConcreteBy Using Different Machine Learning Methods
Publish Year: 1402
نوع سند: مقاله کنفرانسی
زبان: English
View: 55
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
CRIAL01_010
تاریخ نمایه سازی: 7 مرداد 1403
Abstract:
Concrete is an artificial stone that is made from a combination of cement, aggregate, water and additives. Today, this naturalstone has been used a lot in civil projects. One of the important characteristics of concrete is having a suitable efficiency for itsuse in different purposes and structures. The strength of concrete is highly dependent on its components and the amount andpercentage of their composition. Cement, water, granulation, lubricants, etc. are among the determining parameters that thesmallest change in their amount changes the strength of concrete. Predicting the strength of concrete is very difficult, but today,using machine learning techniques and having datasets, it is possible to predict the strength of concrete with a goodapproximation. In this paper, a data set of various concrete tests was analyzed using machine learning techniques and theresults were compared. In this review, the Linear Regression and Support Vector Regression with linear kernel algorithms areshown better results and less error than other algorithms
Keywords:
Authors
Reza Jamalpour
Assistant Professor, Department of Civil Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
Maryam Jamalpour
MS.c Student, Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
Amirhosein Jamalpour
Teaching Assistant, Department of Civil Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran