DocumentCode
1895618
Title
Research of Blended Coal Model Based on Genetic Algorithm and Support Vector Machine
Author
Cui, Yan-bin ; Du, Qiu-shi
Author_Institution
North China Electr. Power Univ., Baoding, China
Volume
1
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
396
Lastpage
399
Abstract
In order to analyze the property of the blended coal in the power plants boiler operation, the author structure a new kind of hybrid model for blended coal based on Genetic Algorithm (GA) and support vector machine (SVM).The results of testing 20 blended coals in power plant show that the proposed model is practical and feasible. The model can achieve higher classification accuracy.
Keywords
blending; boilers; coal; genetic algorithms; power engineering computing; power plants; support vector machines; blended coal model; genetic algorithm; power plants boiler operation; support vector machine; Boilers; Economic forecasting; Genetic algorithms; Genetic mutations; Intelligent structures; Power generation; Predictive models; Support vector machine classification; Support vector machines; Thermal management;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.103
Filename
5287629
Link To Document