翻译成中文：Extraction and energy consumption are two important indicators of the milling process and whether they meet standards will affect the smooth operation and economic benefits of sugar production. This study presents a novel modeling method to predict these indicators based on the deep feature extraction and deep kernal extreme learning machine. These methods provided a good reference for end-point control and judgment of quick direct tapping. In addition, it a new concept for the design of soft sensors for such complex industrial processes.

提取和能量消耗是碾糖过程的两个重要指标，是否符合标准将影响碾糖生产的顺利运行和经济效益。本研究介绍了一种基于深度特征提取和深度内核极限学习机的新型建模方法来预测这些指标。这些方法为端点控制和快速直接开口判断提供了很好的参考。此外，它也为这类复杂工业过程的软传感器设计提供了新的概念。