Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

Characteristic Curve Fitting of Capacitive Rainfall Sensor Based on BP Neural Network

Authors
Long Zhang, Song Ye, Shu-dao Zhou, Feng Liu
Corresponding Author
Long Zhang
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.146How to use a DOI?
Keywords
Capacitive Rainfall Sensor, Curve Fitting, Least Square Method, BP Neural Network, Mean Square Error
Abstract

Rainfall is a kind of common weather phenomenon. Accurate measurement of rainfall is of great significance for weather and natural disasters forecasting. In this paper, the capacitive sensor was applied to the measurement of rainfall and the working principle was introduced. Furthermore, the output characteristic curve of the sensor was fitted by BP neural network. The sensor's calibration data were taken as training samples and BP network model was established. The results showed that the fitting algorithm based on BP neural network had faster convergence speed and higher accuracy, and its fitting error was much smaller than that of the least square method.

Copyright
© 2016, 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 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.146How to use a DOI?
Copyright
© 2016, 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  - Long Zhang
AU  - Song Ye
AU  - Shu-dao Zhou
AU  - Feng Liu
PY  - 2016/12
DA  - 2016/12
TI  - Characteristic Curve Fitting of Capacitive Rainfall Sensor Based on BP Neural Network
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 737
EP  - 742
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.146
DO  - https://doi.org/10.2991/iceeecs-16.2016.146
ID  - Zhang2016/12
ER  -