用优化参数降低芳烃抽提过程中丁烷的损耗量

Decrease butane consumption in course of aromatic extraction by optimizing operating parameters

针对如何降低芳烃抽取过程中的丁烷消耗问题,提出优化过程操作参数的解决方法.其中优化问题的模型用人工神经网络来描述,优化方法采用遗传算法.介绍了人工神经网络建模的过程和遗传算法寻优的步骤.

In view of the problem of how to decrease butane consumption in course of aromatic extraction, a solution of optimizing operating parameters is presented. Optimization model is described by artificial neural network and genetic algorithm is used in optimization method. The process of artificial neural network modeling and the procedure of genetic algorithm optimization are introduced. Optimized operating parameters are obtained.