@article{(Open Science Index):https://publications.waset.org/pdf/11060, title = {Modeling of Crude Oil Blending via Discrete-Time Neural Networks}, author = {Xiaoou Li and Wen Yu}, country = {}, institution = {}, abstract = {Crude oil blending is an important unit operation in petroleum refining industry. A good model for the blending system is beneficial for supervision operation, prediction of the export petroleum quality and realizing model-based optimal control. Since the blending cannot follow the ideal mixing rule in practice, we propose a static neural network to approximate the blending properties. By the dead-zone approach, we propose a new robust learning algorithm and give theoretical analysis. Real data of crude oil blending is applied to illustrate the neuro modeling approach.}, journal = {International Journal of Mechanical and Mechatronics Engineering}, volume = {2}, number = {6}, year = {2008}, pages = {821 - 828}, ee = {https://publications.waset.org/pdf/11060}, url = {https://publications.waset.org/vol/18}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 18, 2008}, }