木材科学与技术2025，Vol.39Issue(6)：26-32,7.DOI:10.12326/j.2096-9694.2025086
杂种落叶松早材和晚材拉伸弹性模量预测
Prediction of Tensile Modulus of Elasticity of Earlywood and Latewood from Hybrid Larch
摘要
Abstract
In this research,earlywood(EW)and latewood(LW)tissue slices were taken from the outermost five growth rings of hybrid larch(Larix kaempferi 5×L.gmelinii 9)at 5,14,29,and 40 years with an aim at revealing the variation of air-dry density and tensile modulus of elasticity(MOE),as well as their correlation.Furthermore,a tabular prior-data fitted network(TabPFN)model was employed to simulate and predict tensile MOE.Results showed that,at any given tree age,a positive correlation was observed between the tensile MOE and air-dry density for both EW and LW,with the coefficients of determination(R²)being higher for LW than for EW.The combined fitting of EW and LW data yielded significantly better results than individual fittings,with R2 ranging from 0.94 to 0.97.A prediction model constructed based on TabPFN deep learning enabled the prediction of tensile MOE of EW and LW in hybrid larch,with a mean absolute percentage error(MAPE)of 16.03%between predicted and experimental values.These findings could support the prediction of tensile MOE of larch wood for rapidly evaluating wood quality.关键词
杂种落叶松/气干密度/拉伸弹性模量/TabPFN模型Key words
hybrid larch/air-dry density/tensile modulus of elasticity/TabPFN model分类
农业科技引用本文复制引用
黄鹤,杨晨,李珠,向娥琳,蒋佳荔,周永东..杂种落叶松早材和晚材拉伸弹性模量预测[J].木材科学与技术,2025,39(6):26-32,7.基金项目
农业生物育种国家科技重大专项课题"纸浆材及结构材用松树木材性质与质量评价"(2023ZD0405905). （2023ZD0405905）
