Research of Blended Coal Model Based on Genetic Algorithm and Support Vector Machine

被引：0
作者：
Cui, Yan-bin [1 ]
Du, Qiu-shi [2 ]
机构：
[1] N China Elect Power Univ, Baoding 071003, Peoples R China
[2] N China Elect Power Univ, Sch Business & Adm, Baoding 071003, Peoples R China
来源：
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL I, PROCEEDINGS | 2009年
关键词：
genetic algorithm; support vector machine; blended coal;
D O I：
10.1109/ICICTA.2009.103
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：396 / 399
页数：4
相关论文
共 6 条
[1]   Learning and optimization using the clonal selection principle [J].
de Castro, LN ;
Von Zuben, FJ .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (03) :239-251
[2]  
DECASTRO LN, 2000, GECCO 00 WORKSH P, P36
[3]  
Kecman V., 2001, LEARNING SOFT COMPUT
[4]  
NIN DX, 2007, T CHINA ELECTROTECHN, P148
[5]   Benchmarking least squares support vector machine classifiers [J].
van Gestel, T ;
Suykens, JAK ;
Baesens, B ;
Viaene, S ;
Vanthienen, J ;
Dedene, G ;
de Moor, B ;
Vandewalle, J .
MACHINE LEARNING, 2004, 54 (01) :5-32
[6]  
Yang Jin-fang, 2005, Proceedings of the CSEE, V25, P110
1