Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). We apologize for the inconvenience.
By Topic

Design and realization of optimization system of urea production process based on BP neural network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Zhang Yu ; Third Dept., Southwest Inst. of Tech. Phys., Chengdu, China ; Yu Liang

Optimization of urea production process is important for urea production in our country, and there are wide requirements for it. Improving quality, raising output and reducing cost all need optimization of production process. So we look upon urea production process as an unknown nonlinear function in this paper, and we get BP neural network model that can be used in optimization by function approaching. Then cyclic variable method is used to optimize that model, and we prove the validity of above-mentioned method. Finally, the optimization system of urea production process is designed and realized based on above theories by software engineering method. This system needs to implement large amount of calculations, and it is applied to the problem resolving the offline optimization.

Published in:

Computer Application and System Modeling (ICCASM), 2010 International Conference on  (Volume:10 )

Date of Conference:

22-24 Oct. 2010