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
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;
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
DOI :
10.1109/ICICTA.2009.103
