A robust ensemble surrogate model and its application in the <i>in situ</i> data modelling and analysis of a combine harvester-Reference-Cited by-同舟云学术

A robust ensemble surrogate model and its application in the in situ data modelling and analysis of a combine harvester

Published:2023-12-07 Issue: Volume: Page:1-21
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Hu Jinpeng¹²,Zong Chaoyong³,Shi Maolin¹²,Wang Liying⁴,Bi Qiushi⁵,Xu Lizhang¹

Affiliation:

1. School of Agricultural Engineering, Jiangsu University, Zhenjiang, People’s Republic of China

2. Jiangsu Province and Education Ministry Co-sponsorer Synergistic Innovation Center of Modern Agricultural Equipment, Jiangsu University, Zhenjiang, People’s Republic of China

3. College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, People’s Republic of China

4. Department of informatization, Jiangsu World Agriculture Machinery Co., Ltd, Zhenjiang, People’s Republic of China

5. School of Mechanical and Aerospace Engineering, Jilin University, Changchun, People’s Republic of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2023.2286509

Reference31 articles.

1. Hybrid nonlinear surrogate models for fracture behavior of polymeric nanocomposites

2. Mathematical modeling and research of the work of the grain combine harvester cleaning system

3. A novel hybrid surrogate model and its application on a mechanical system subjected to friction-induced vibration

4. Tracing algorithm and control strategy for crawler rice combine harvester auxiliary navigation system

5. Identifying Multiple Outliers in Multivariate Data