Study on Influence of Range of Data in Concrete Compressive Strength with Respect to the Accuracy of Machine Learning with Linear Regression

Study on Influence of Range of Data in Concrete Compressive Strength with Respect to the Accuracy of Machine Learning with Linear Regression

This study aims to predict the compressive strength of concrete using a machine-learning algorithm with linear regression analysis and to evaluate its accuracy. The open-source software library TensorFlow was used to develop the machine-learning algorithm. In the machine-earning algorithm, a total o...

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Bibliographic Details
Main Authors: Jun-Ryeol Park, Hye-Jin Lee, Keun-Hyeok Yang, Jung-Keun Kook, Sanghee Kim
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
compressive strength of concrete
TensorFlow
linear regression
concrete mixture
artificial neural network
Online Access:https://www.mdpi.com/2076-3417/11/9/3866

Internet

https://www.mdpi.com/2076-3417/11/9/3866

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