New widrow adaptive filter based on support vector machine
被引:0
|
作者:
Liu Bin
论文数: 0引用数: 0
h-index: 0
机构:
Daqing Petr Inst, Fac Elect & Informat Engn, Daqing 163318, Peoples R ChinaDaqing Petr Inst, Fac Elect & Informat Engn, Daqing 163318, Peoples R China
Liu Bin
[1
]
Wei Xian-long
论文数: 0引用数: 0
h-index: 0
机构:
Daqing Petr Inst, Fac Elect & Informat Engn, Daqing 163318, Peoples R ChinaDaqing Petr Inst, Fac Elect & Informat Engn, Daqing 163318, Peoples R China
Wei Xian-long
[1
]
机构:
[1] Daqing Petr Inst, Fac Elect & Informat Engn, Daqing 163318, Peoples R China
来源:
Proceedings of 2006 Chinese Control and Decision Conference
|
2006年
关键词:
statistical learning theory;
support vector machine;
adaptive filter;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
It proposes,a new adaptive filter, based on support vector machine in order to overcome the disadvantage of the classic filter. The new adaptive filter is based on the adaptive inverse control which is raised by Widrow. First, the development of the adaptive filter and the basic principle of SVM are introduced. And it analyses the structure of the new adaptive filter based on SVM. Then the processing of the filter is discussed in detail. The experiment given has proved the validity of the new algorithm.
引用
收藏
页码:231 / 233
页数:3
相关论文
共 5 条
[1]
Deng aiyang, 2004, NEW WAY DATA MINING
[2]
SHEN FM, 2002, ADAPIVE SIGNAL PROCE
[3]
Vapnik Vladimir N., 2004, STAT LEARNING THEORY