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Optimization of production parameters of particle gluing on internal bonding strength of particleboards using machine learning technology (open access)

Optimization of production parameters of particle gluing on internal bonding strength of particleboards using machine learning technology

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
System: The UNT Digital Library