基于人工神经网络模型的木材干燥应变模拟预测

付宗营,蔡英春,高鑫,周凡,江京辉,周永东

Simulation of Drying Strain Based on Artificial Neural Network Model

Zongying Fu,Yingchun Cai,Xin Gao,Fan Zhou,Jinghui Jiang,Yongdong Zhou

图3 弹性应变(a)和机械吸附蠕变(b)预测模型网络拓扑结构 DT：干燥温度Drying temperature；PT:预处理温度Pre-steaming temperature；MC:含水率Moisture content；RH:相对湿度Relative humidity；DP:距髓心距离Distance from pith；ES:弹性应变Elastic strain；MS:机械吸附蠕变Mechano-sorptive creep.

Fig.3 Network topology of elastic strain (a) and mechano-sorptive creep (b) prediction model