Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

Pressure Measurement of the Flexible Pipe Algorithm in Aerial Refueling based on SVR with Parameter Optimization

Authors
Wanxu Zhang, Xiangnan Li, Lin Wang
Corresponding Author
Wanxu Zhang
Available Online March 2015.
DOI
10.2991/iiicec-15.2015.459How to use a DOI?
Keywords
aerial refueling; flexible pipe pressure; SVR; parameter optimization
Abstract

With the problem that the pressure of the flexible pipe in aerial refueling was hard to be measured directly by sensors, a pressure measurement algorithm based on support vector regression (SVR) with parameter optimization was proposed in this paper. First, a data model with a large amount of historical data based on SVR was set up. Then the parameters of the model were optimized by cross-validation and grid-search method. Experimental results show that the method has a high prediction precision and good generalization ability comparing with BP neural network.

Copyright
© 2015, 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 2015 International Industrial Informatics and Computer Engineering Conference
Series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
10.2991/iiicec-15.2015.459
ISSN
2352-538X
DOI
10.2991/iiicec-15.2015.459How to use a DOI?
Copyright
© 2015, 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  - Wanxu Zhang
AU  - Xiangnan Li
AU  - Lin Wang
PY  - 2015/03
DA  - 2015/03
TI  - Pressure Measurement of the Flexible Pipe Algorithm in Aerial Refueling based on SVR with Parameter Optimization
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 2109
EP  - 2112
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.459
DO  - 10.2991/iiicec-15.2015.459
ID  - Zhang2015/03
ER  -