  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.
