An eXtreme Gradient Boosting Algorithm Combining Artificial Bee Colony Parameters Optimized Technique for Single Sand Body Identification

An eXtreme Gradient Boosting Algorithm Combining Artificial Bee Colony Parameters Optimized Technique for Single Sand Body Identification

Due to the problems of traditional artificial single sand body identification methods such as strong subjectivity, heavy workload and low efficiency, we propose a fast and objective ABC-XGBoost. The algorithm consists of two parts: eXtreme gradient boosting (XGBoost) and artificial bee colony algori...

Full description

Bibliographic Details
Main Authors: Renze Luo, Liang Guo, Xingyu Li, Juanjuan Tuo, Canru Lei, Yang Zhou
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Single sand body identification
artificial bee colony algorithm
machine learning
eXtreme gradient boosting
ABC-XGBoost
Online Access:https://ieeexplore.ieee.org/document/9623534/

Internet

https://ieeexplore.ieee.org/document/9623534/

Similar Items