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
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;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6066702
