In veneer-drying facilities, controllers face many challenges to maintain desired parameters in the final product based on customer’s needs. The major challenge is setting process parameters to control the temperature and humidity within the various sections in the drying machine to obtain the desired properties of the final product. The regression tree approach can be used to simplify the complex relationship among process and product variables for identifying critical factors for drying veneer and achieving the desired range of veneer temperature. In this study, we investigated veneer-drying conditions and the short-term effect of climatic variables on veneer temperature. We have shown a three-step process to develop an optimal regression tree for veneer temperature. From the developed optimal tree, we are able to identify the most important threshold points of predictor space and adjustment for the climatic variables on the temperature of veneer sheets. The findings of this study were further investigated in an industrial setting and the desired veneer temperatures were attained for the final product. This application shows that we can follow the path of the optimal tree to pinpoint the most desired veneer temperature outcome. The developed optimal tree is relatively easy to use and interpret to estimate the average response of veneer temperature.

中文翻译：

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基于决策树的技术在单板加工中的应用

在单板干燥设备中，控制器要面对许多挑战，要根据客户的需求在最终产品中保持所需的参数。主要挑战是设置工艺参数，以控制干燥机各个部分的温度和湿度，以获得最终产品所需的性能。回归树方法可用于简化过程和产品变量之间的复杂关系，从而确定干燥单板和实现所需的单板温度范围的关键因素。在这项研究中，我们调查了单板干燥条件和气候变量对单板温度的短期影响。我们显示了一个三步过程来开发单板温度的最佳回归树。从开发的最优树，我们能够确定预报器空间的最重要阈值点，并对单板温度进行气候变量调整。这项研究的发现在工业环境中进行了进一步研究，最终产品达到了所需的饰板温度。该应用程序表明，我们可以遵循最佳树的路径来确定最理想的贴面温度结果。所开发的最优树相对易于使用和解释，以估计单板温度的平均响应。该应用程序表明，我们可以遵循最佳树的路径来确定最理想的贴面温度结果。所开发的最优树相对易于使用和解释，以估计单板温度的平均响应。该应用程序表明，我们可以遵循最佳树的路径来确定最理想的贴面温度结果。所开发的最优树相对易于使用和解释，以估计单板温度的平均响应。