Application of Extreme Gradient Boosting Based on Grey Relation Analysis for Prediction of Compressive Strength of Concrete
The prediction of concrete strength is an interesting point of investigation and could be realized well, especially for the concrete with the complex system, with the development of machine learning and artificial intelligence. Therefore, an excellent algorithm should put emphasis to receiving incre...
Saved in:
Main Authors: | Liyun Cui, Peiyuan Chen, Liang Wang, Jin Li, Hao Ling |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/8878396 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Extreme Gradient Boosting Model with SMOTE for Heart Disease Classification
by: Ahmad Ubai Dullah, et al.
Published: (2025-01-01) -
Research on Spread Spectrum Codes Optimized by Sparrow Search Algorithm and Extreme Gradient Boosting
by: LIANG Zhiru, et al.
Published: (2024-12-01) -
Analyzing Accident Injury Severity via an Extreme Gradient Boosting (XGBoost) Model
by: Shubo Wu, et al.
Published: (2021-01-01) -
Assessment of resilient modulus of soil using hybrid extreme gradient boosting models
by: Xiangfeng Duan
Published: (2024-12-01) -
Improving wheat yield prediction through variable selection using Support Vector Regression, Random Forest, and Extreme Gradient Boosting
by: Juan Carlos Moreno Sánchez, et al.
Published: (2025-03-01)