催化裂化反再系统神经网络操作优化

Operation Optimization of Neural Networks for Reaction-Reproduction System of Fluid Catalytic Cracking Unit

介绍利用神经网络建立了催化裂化反再系统生产操作条件与产品产率之间的数学模型。同时,利用此模型对反再系统进行优化,可获得较优产品产率下的操作条件。

A neural networks model for reaction-reproduction system of fluid catalytic cracking unit was established. The model describe a relationship between operation factor and production yield. The process parameters of the reaction-reproduction system can be optimized using the model, and higher product yield can be obtained.