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Wang, Huiyan. Combined prediction model of gasoline octane loss value based on XGboost-GBDT combined prediction. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
Combined prediction model of gasoline octane loss value based on XGboost-GBDT combined prediction
Name: Chen, Guoqing
Organization :
Mahasarakham University. Faculty of Science, Chengdu Jincheng College. Department of Mathematics
Email :
chenguoqing1139@163.com
Name: Fang, Ziqiang
Organization :
Qinghai Normal University. School of Mathematics and Statistics
Email :
15013579391@163.com
Name: Peng, Haiyang
Organization :
Minnan Normal University. School of Mathematics and Statistics
Email :
pxxxoc@163.com
Name: Busababodhin P.
Organization :
Mahasarakham University. Faculty of Science
Email :
piyapatr.b@msu.ac.th
Name: Wang, Huiyan
Organization :
Xihua University. School of Energy and Power Engineering
Email :
191758344@qq.com
keyword:
XGBoost
ThaSH:
Mathematical models
ThaSH:
Algorithms
Abstract:
Establishing a gasoline octane loss value influence factor and prediction model can provide an optimization
reference for industry to optimize the desulfurization and olefin reduction process flow, in addition to providing an
efficient and low-cost octane loss prediction method can complement the current complex and high-cost octane
measurement methods. In this paper, XGBoost and Random Forest models are applied to realize the screening of
gasoline octane loss value problem. XGBoost and GBDT models are applied for weighted combination using inverse
error method. The problems such as the large error of a single model are corrected, and the combined prediction
model of XGBoost-GBDT finally obtains a MAPE of 0.0883 and an RMSE of 0.1660, which achieves further
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Modified:
2025-09-15
Created:
2022
Issued:
2025-09-15
บทความ/Article
application/pdf
BibliograpyCitation :
In King Mongkut's University of Technology North Bangkok Faculty of Applied Science, Thai Statistical Association (TSA) and Statistics Cooperative Research Network (Statistics CRN). The Proceeding of International Conference on Applied Statistics (ICAS 2022) (pp.76-84). Bangkok : King Mongkut's University of Technology North Bangkok
eng
©copyrights King Mongkut's University of Technology North Bangkok
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Chen, Guoqing
| Title | Contributor | Type |
|---|---|---|
| Combined prediction model of gasoline octane loss value based on XGboost-GBDT combined prediction
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chen, Guoqing;Fang, Ziqiang;Peng, Haiyang;Busababodhin P.;Wang, Huiyan | บทความ/Article |
Fang, Ziqiang
| Title | Contributor | Type |
|---|---|---|
| Combined prediction model of gasoline octane loss value based on XGboost-GBDT combined prediction
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chen, Guoqing;Fang, Ziqiang;Peng, Haiyang;Busababodhin P.;Wang, Huiyan | บทความ/Article |
Peng, Haiyang
| Title | Contributor | Type |
|---|---|---|
| Combined prediction model of gasoline octane loss value based on XGboost-GBDT combined prediction
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chen, Guoqing;Fang, Ziqiang;Peng, Haiyang;Busababodhin P.;Wang, Huiyan | บทความ/Article |
Busababodhin P.
| Title | Contributor | Type |
|---|---|---|
| Combined prediction model of gasoline octane loss value based on XGboost-GBDT combined prediction
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chen, Guoqing;Fang, Ziqiang;Peng, Haiyang;Busababodhin P.;Wang, Huiyan | บทความ/Article |
Wang, Huiyan
| Title | Contributor | Type |
|---|---|---|
| Combined prediction model of gasoline octane loss value based on XGboost-GBDT combined prediction
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chen, Guoqing;Fang, Ziqiang;Peng, Haiyang;Busababodhin P.;Wang, Huiyan | บทความ/Article |