%0 Journal Article
	%A Xiaoou Li and  Wen Yu
	%D 2008
	%J International Journal of Mechanical and Mechatronics Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 18, 2008
	%T Modeling of Crude Oil Blending via Discrete-Time Neural Networks
	%U https://publications.waset.org/pdf/11060
	%V 18
	%X 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.
	%P 821 - 828