ZHANG Yuntao, DUAN Qibin, BAI Chunyan, et al. 计算机辅助汽油调合设计[J]. CIESC Journal, 2006, (7).
DOI:
ZHANG Yuntao, DUAN Qibin, BAI Chunyan, et al. 计算机辅助汽油调合设计[J]. CIESC Journal, 2006, (7).DOI:
计算机辅助汽油调合设计
摘要
Abstract
The design of gasoline blending made a linear transformation of the set of variables comprising component octane number
component distillation process data
component proportion of blending gasoline
and additive quantity.With a production-based data LSSVM and ν-SVR and RBFNN machine learning methods the prediction model for octane number was established
and the design was computerized for directing gasoline blending in a petroleum refinery.The experimental results showed that the mean of value of absolute error was 0.227RON
and the maximun absolute error was 0.480RON.The experiments with the absolute error within 0.3RON accounted for 76.2% of the total experiments while those with absolute error within 0.4RON accounts for 90.5% of total experiments.