摘要
介绍了一种支持向量机与遗传算法相结合的方法,并通过实测数据建立催化裂化轻柴油凝点数学模型,在线计算轻柴油油气分压和装置在线验证,模型具有泛化能力,并将其作为软仪表用来实时优化工艺操作。
The method combined genetic algorithm and support vector machines is introduced first. A mathematic model for predicting the solidifying point of light cycle oil in the catalytic cracking unit is developed based on the practical data. Results of on-line calculation show that the deviation between the predicted value is fit to width. This model by way of the soft meter is used to optimize real time unit operation.
出处
《石油化工自动化》
CAS
2008年第2期44-47,共4页
Automation in Petro-chemical Industry
基金
湖南省教育厅科学研究项目资助(07C421)
关键词
催化裂化
轻粗柴油
凝点
支持向量机
遗传算法
catalytic cracking
light cycle oil
solidifying point
support vector machines
genetic algorithm
