静态试验研究表明：木材的含水率能引起电涡流传感器的输出电压下降，但下降的幅度甚微；
Static experimental test shows that wet wood can make tiny decline to the output voltage of eddy current sensor.
利用神经网络所具有的输入-输出之间的高度非线性映射关系，给出一种利用BP神经网络模型预测木材径向导热系数的方法。
A method to predict the wood radial thermal conductivity based on back propagation (BP) neural network model which has non-linear relation highly was proposed.
木材：经过输出国家许可，合法砍伐木材，并经过一定的干燥、熏蒸程序。
Wood: We get the permission of state, cut down trees legally, pass drying and fumigation procedure.
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