Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Study on the Method of Channel Siltation Recognition Based on SVM

Authors
Xun Zhang1, Wenhai Xu, Lili Dong, Wenyan Tang
1Department of Automatic Testing and Control, Harbin Institute of Technology
Corresponding Author
Xun Zhang
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.156How to use a DOI?
Keywords
Channel siltation; transducer arrays; support vector machine (SVM); optimum receiver .
Abstract

A method to recognize the channel siltation using support vector machine (SVM) was developed. The method was based on the system that the transducer arrays were laid out respectively on each side of the channel. Through the analysis of sonar signal acquired by data acquisition unit, the features to recognize the siltation were extracted. By recognizing verification of the siltation in one channel, the results showed that the method could recognize the channel siltaion correctly. Compare with the traditional approaches of ANN, the method has the advantages of high recognition precision (>90%)

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.156How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xun Zhang
AU  - Wenhai Xu
AU  - Lili Dong
AU  - Wenyan Tang
PY  - 2007/10
DA  - 2007/10
TI  - Study on the Method of Channel Siltation Recognition Based on SVM
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 921
EP  - 925
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.156
DO  - https://doi.org/10.2991/iske.2007.156
ID  - Zhang2007/10
ER  -