Review of Neural Network Algorithm and Its Application in Reactive Distillation

Artificial Neural Networks (ANN) can accurately identify and learn the potential relationship between input output, have self-learning capabilities high fault tolerance, which be used to predict or optimize performance of complex systems. Reactive distillation integrates reaction rectification into one device, so that two processes occur at same time place, but it also produces highly nonlinear robust behavior, making its process control optimization unable use conventional methods. Instead, neural network algorithms must used. This paper briefly describes research progress reactive technology, summarizes application in distillation, aiming provide reference for development innovation industry technology.