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Study on the detection of abnormal sounding data based on LS-SVM |
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| Authors: | HUANG Xianyuan ZHAI Guojun SUI Lifen and CHAI Hongzhou |
| Institution: | 1.Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China;Naval Institute of Hydrographic Surveying and Charting, Tianjin 300061, China2.Naval Institute of Hydrographic Surveying and Charting, Tianjin 300061, China3.Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China |
| 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. |
| Keywords: | LS-SVM trend surface filter kernel function abnormal sounding data |
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