Application of Artificial Neural Network in Rectification

Distillation is a part operation process that uses the various volatility of various parts in the mixture to separate or free. The key problem has always happened how to upgrade the separation effect of improvement. However, there are complex coordination, restraints and conflicts between the objective function and the recommendation parameters of the rectification arrangement, and it is difficult to acquire the optimal operating environments by applying traditional control plans. With its strong computing power and adjusting learning strength, the artificial interconnected system can establish the nonlinear correspondence betwixt the objective function and multiple free variables without depending the mathematical model, which supplies a powerful form for the optimal operation and design of the distillate column. This item will introduce the introduction, typical network models and development record of artificial affecting animate nerve organs networks, and summarize the application and research progress of pretended neural networks in distillate.

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