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  2006, Vol. 19 Issue (3): 342-348    DOI:
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The Improved Pattern Recognition Method for Process Optimization and Application
YAN JingYu, SHEN ZhiYu, XUE MeiSheng, SUN DeMin
Department of Automation, University of Science and Technology of China, Hefei 230027

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Abstract  Aiming at difficulties in applying pattern recognition optimization method to the process optimization, the concepts of sample weight and class gradient are proposed to improve the existing algorithms according to the feature weight and gradient theory. Simulation results in a nonlinear, multivariable and strongly coupled system illustrate that the proposed method outperforms the conventional pattern recognition optimization method and adaptive optimization method. The proposed method has been applied in the practical online operation condition optimization of an ammonia synthesizer (80,000 tons per year) and the net value of ammonia has raised 0.38% with considerable economic benefit.
Key wordsPattern Recognition      Process Optimization      Ammonia Reactor      Net Value of Ammonia     
Received: 22 November 2004     
ZTFLH: O235  
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YAN JingYu
SHEN ZhiYu
XUE MeiSheng
SUN DeMin
Cite this article:   
YAN JingYu,SHEN ZhiYu,XUE MeiSheng等. The Improved Pattern Recognition Method for Process Optimization and Application[J]. , 2006, 19(3): 342-348.
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