Study on the detection of abnormal sounding data based on LS-SVM

HUANG Xianyuan; ZHAI Guojun; SUI Lifen; CHAI Hongzhou

doi:10.1007/s13131-010-0082-3

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Article Navigation > Acta Oceanologica Sinica > 2010 > (6): 115-120

HUANG Xianyuan, ZHAI Guojun, SUI Lifen, CHAI Hongzhou. Study on the detection of abnormal sounding data based on LS-SVM[J]. Acta Oceanologica Sinica, 2010, (6): 115-120. doi: 10.1007/s13131-010-0082-3

Citation:

HUANG Xianyuan, ZHAI Guojun, SUI Lifen, CHAI Hongzhou. Study on the detection of abnormal sounding data based on LS-SVM[J]. Acta Oceanologica Sinica, 2010, (6): 115-120. doi: 10.1007/s13131-010-0082-3

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Study on the detection of abnormal sounding data based on LS-SVM

doi: 10.1007/s13131-010-0082-3

1.
Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China;Naval Institute of Hydrographic Surveying and Charting, Tianjin 300061, China
2.
Naval Institute of Hydrographic Surveying and Charting, Tianjin 300061, China
3.
Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China

Received Date: 2009-07-29
Rev Recd Date: 2010-05-27

Abstract

Abstract

A new method of detecting abnormal sounding data based on LS-SVM is presented. The theorem proves that the trend surface filter is the especial result of LS-SVM. In order to depict the relationship of trend surface filter and LS-SVM, a contrast is given. The example shows that abnormal sounding data could be detected effectively by LS-SVM when the training samples and kernel function are reasonable.
- LS-SVM,
- trend surface filter,
- kernel function,
- abnormal sounding data