Proceedings of the 2015 International Conference on Industrial Technology and Management Science

High Resolution Radar Detection Based on Neutral Network

Authors
N. Pang, P.J. Xu
Corresponding Author
N. Pang
Available Online November 2015.
DOI
10.2991/itms-15.2015.98How to use a DOI?
Keywords
High Resolution Radar; Neural Network; Adaptive BP method
Abstract

Neural Network has been broadly applied in the area of modern information technique including radar area. Traditional detection techniques can not detect objects accurately in High Resolution Radar system. Neural Network method can apperceive the tiny diversification of the object because of its flexible parallel processing structure and better mistake toleration. Back-Propagation method solved the problem of multiple network training. But this method is easy to shake and the convergence speed is slow. The Weight adjustment arithmetic based on momentum method can improve in the two aspects. The test shows the efficiency of this kind of adaptive BP method.

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 Conference on Industrial Technology and Management Science
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
10.2991/itms-15.2015.98
ISSN
2352-538X
DOI
10.2991/itms-15.2015.98How 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  - N. Pang
AU  - P.J. Xu
PY  - 2015/11
DA  - 2015/11
TI  - High Resolution Radar Detection Based on Neutral Network
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 412
EP  - 415
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.98
DO  - 10.2991/itms-15.2015.98
ID  - Pang2015/11
ER  -