Optimization of production parameters of particle gluing on internal bonding strength of particleboards using machine learning technology
Description:
This article presents a study using grey relation analysis (GRA) and support vector regression (SVR) algorithm to develop a prediction model to accurately predict internal bond strength (IB) of particleboard production (PB) through particle gluing processing parameters in a PB production line.
Date:
April 9, 2022
Creator:
Zhang, Beilong; Hua, Jun; Cai, Liping; Gao, Yunbao & Li, Yilin
Item Type:
Refine your search to only
Article
Partner:
University of North Texas