Title :
Constructing the Model of Propylene Distillation Based on Neural Networks
Author :
Lu, Jingui ; Fang, Ning ; Lin, Jinguo ; Chen, Fengxin ; Chen, Guanghui
Author_Institution :
Nanjing Univ. of Technol., Nanjing
Abstract :
The model of propylene distillation helps improve the quality of propylene products. This paper proposes a methodology of constructing the model of propylene distillation based on the neural network technique. The strategy of adjusting the neural network-based model of propylene distillation with rough sets is proposed. A numerical example of the neural network-based model for actual propylene distillation is provided. A comparison is made between the predicted results from the model and the actual results, which validates the effectiveness of the model of propylene distillation.
Keywords :
chemical industry; distillation; neural nets; production engineering computing; rough set theory; neural network; propylene distillation; propylene product; rough sets; Computational modeling; Computer simulation; Control system synthesis; Intelligent control; Neural networks; Poles and towers; Predictive models; Production; Rough sets; Software packages;
Conference_Titel :
Intelligent Control, 2007. ISIC 2007. IEEE 22nd International Symposium on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0440-7
Electronic_ISBN :
2158-9860
DOI :
10.1109/ISIC.2007.4450924
