论文标题
神经网络算法及其在反应性蒸馏中的应用
Neural network algorithm and its application in reactive distillation
论文作者
论文摘要
反应性蒸馏是一种基于化学反应和蒸馏的偶联的特殊蒸馏技术。它具有低能消耗和高分离效率的特征。但是，由于反应和分离的组合会产生高度非线性的鲁棒行为，因此反应性蒸馏过程的控制和优化不能使用常规方法，但必须依靠神经网络算法。本文简要介绍了反应性蒸馏技术和神经网络算法的特征和研究进度，并总结了神经网络算法在反应性蒸馏中的应用，旨在为行业技术的开发和创新提供参考。
Reactive distillation is a special distillation technology based on the coupling of chemical reaction and distillation. It has the characteristics of low energy consumption and high separation efficiency. However, because the combination of reaction and separation produces highly nonlinear robust behavior, the control and optimization of the reactive distillation process cannot use conventional methods, but must rely on neural network algorithms. This paper briefly describes the characteristics and research progress of reactive distillation technology and neural network algorithms, and summarizes the application of neural network algorithms in reactive distillation, aiming to provide reference for the development and innovation of industry technology.
