@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},
	}