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2 2种干燥基准(S)下干球温度(T)、含水率(MC)和相对湿度(RH)随时间变化曲线 |
Fig.2 Plots of dry bulb temperature (T), moisture content (MC) and relative humidity (RH)with drying time under two drying schedules (S) |
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