  Neural network realizes multi-parameter optimization and control by
simulating certain mechanisms of the human brain. It can be used in many fields
such as signal processing, intelligent driving, optimal combination, vehicle
abnormality detection, and chemical process optimization control. Supercritical
extraction is a new type of high-efficiency chemical separation process, which
is mainly used in the separation and purification of natural substances. There
are many influencing factors. The neural network model can quickly optimize the
process parameters and predict the experimental results under different process
conditions. It is helpful to understand the inner law of the experiment and
determine the optimal experimental conditions. This paper briefly describes the
basic concepts and research progress of neural networks and supercritical
extraction, and summarizes the application of neural network algorithms in
supercritical extraction, aiming to provide reference for the development and
innovation of industry technology.
