It is becoming important pulp and artificial board material tree species as its short rotation.
由于其短轮期特性，正成为我国纸浆材及人造板材的重要原料树种。
Anew method to pulp consistency sensor nonlinear estimation and dynamic calibration based on artificial neural networks is proposed.
本文提出了一种基于人工神经网络的纸浆浓度传感器非线性估计和动态标定新方法。
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