DocumentCode
2179731
Title
Ethylene plant genetic network modeling and optimization
Author
Jingfang, Wang ; Huiyan, Xu
Author_Institution
Dept. of Electr. Eng., Hunan Int. Econ. Univ., Changsha, China
fYear
2011
fDate
9-11 Sept. 2011
Firstpage
2046
Lastpage
2049
Abstract
This paper introduced how to establish the nonlinear model structure of the artificial neural network in Ethylene Plant and how to optimize the model parameters by use of Genetic Algorithms. An example showed that the process parameters of the ethylene plant can be speedily optimized by the genetic network model, and higher ethylene yield can be obtained.
Keywords
chemical engineering computing; genetic algorithms; industrial plants; neural nets; petrochemicals; production engineering computing; artificial neural network; ethylene plants; genetic algorithms; genetic network modeling; nonlinear model structure; optimization; Biological cells; Educational institutions; Furnaces; Genetic algorithms; Genetics; Neurons; Optimization; Combination Optimization; Ethylene Plant; Genetic Algorithms; Model; Neural Network; Nonlinear;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location
Zhejiang
Print_ISBN
978-1-4577-0320-1
Type
conf
DOI
10.1109/ICECC.2011.6066702
Filename
6066702
Link To Document