Journal of Wood Science

Official Journal of the Japan Wood Research Society

Table 3 Evaluation results of the BP model, GRNN model, SVR model, and NSGA2-SVR model

From: Multi-objective optimization of particle gluing operating parameters in particleboard production based on improved machine learning algorithms

Model types	Evaluation index	MOE	MOR	IB	Mean
BPNN	MAPE	0.0196	0.0278	0.0376	0.0283
BPNN	TIC	0.0129	0.0197	0.0254	0.0193
GRNN	MAPE	0.0189	0.0209	0.0254	0.0217
GRNN	TIC	0.0146	0.0163	0.0163	0.0157
SVR	MAPE	0.0170	0.0210	0.0189	0.0190
SVR	TIC	0.0123	0.0163	0.0133	0.0140
NSGA2-SVR	MAPE	0.0107	0.0143	0.0183	0.0144
NSGA2-SVR	TIC	0.0089	0.0133	0.0121	0.0114

Back to article page