  Thermally coupled distillation is a new energy-saving method, but the
traditional thermally coupled distillation simulation calculation process is
complicated, and the optimization method based on the traditional simulation
process is difficult to obtain a good feasible solution. The neural network
algorithm has the advantages of fast learning and can approach nonlinear
functions arbitrarily. For the problems in complex process control systems,
neural network control does not require cumbersome control structures or
precise mathematical models. When training the network, only the input and
output samples it needs are given, so that the dynamics of the system can be
controlled. Performance is approaching. This method can effectively solve the
mathematical model of the thermally coupled distillation process, and quickly
obtain the solution of the optimized variables and the objective function. This
article summarizes the research progress of artificial neural network and the
optimization control of thermally coupled distillation and the application of
neural network in thermally coupled distillation.
