  Artificial neural networks learn various rules and algorithms to form
different ways of processing information, and have been widely used in various
chemical processes. Among them, with the development of rectification
technology, its production scale continues to expand, and its calculation
requirements are also more stringent, because the artificial neural network has
the advantages of self-learning, associative storage and high-speed search for
optimized solutions, it can make high-precision simulation predictions for
rectification operations, so it is widely used in the chemical field of
rectification. This article gives a basic overview of artificial neural
networks, and introduces the application research of artificial neural networks
in distillation at home and abroad.
