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

被引：0

作者：

Zhang, Long ^{[1
]}

Ye, Song ^{[1
]}

Zhou, Shu-dao ^{[1
]}

Liu, Feng ^{[1
]}

机构：

[1] PLA Univ Sci & Technol, Coll Meteorol & Oceanog, Nanjing 211101, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2016) | 2016年 / 50卷

基金：

中国国家自然科学基金;

关键词：

Capacitive Rainfall Sensor; Curve Fitting; Least Square Method; BP Neural Network; Mean Square Error;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：737 / 742

页数：6

共 50 条

[41] Curve fitting for coarse data using artificial neural network
Balasubramanyam, C.
Ajay, M.S.
Spandana, K.R.
Shetty, Amogh B.
Seetharamu, K.N.
WSEAS Transactions on Mathematics, 2014, 13 (01) : 406 - 415
[42] A RBF Neural Network Approach for Fitting Creep Curve of Sandstone
Tan, Yunliang
Zhang, Ze
ACHIEVEMENTS IN ENGINEERING MATERIALS, ENERGY, MANAGEMENT AND CONTROL BASED ON INFORMATION TECHNOLOGY, PTS 1 AND 2, 2011, 171-172 : 274 - 277
[43] Temperature Error Correction Based on BP Neural Network in Meteorological Wireless Sensor Network
Wang, Baowei
Gu, Xiaodu
Ma, Li
Yan, Shuangshuang
CLOUD COMPUTING AND SECURITY, ICCCS 2016, PT II, 2016, 10040 : 117 - 132
[44] Temperature error correction based on BP neural network in meteorological wireless sensor network
Wang, Baowei
Gu, Xiaodu
Ma, Li
Yan, Shuangshuang
INTERNATIONAL JOURNAL OF SENSOR NETWORKS, 2017, 23 (04) : 265 - 278
[45] Amending of sensor's output characteristic based on CMAC Neural Network
Jing, B
Zhang, J
Sun, Y
ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 3447 - 3449
[46] Temperature drift modeling and compensation of capacitive accelerometer based on AGA-BP neural network
Han, Zhiming
Hong, Li
Meng, Juan
Li, Yanan
Gao, Qiang
MEASUREMENT, 2020, 164
[47] SOH prediction of lithium battery based on IC curve feature and BP neural network
Wen, Jianping
Chen, Xing
Li, Xianghe
Li, Yikun
ENERGY, 2022, 261
[48] Bayesian Curve Fitting Based on RBF Neural Networks
Li, Michael
Wibowo, Santoso
NEURAL INFORMATION PROCESSING (ICONIP 2017), PT IV, 2017, 10637 : 120 - 130
[49] A judging method of rice milling degree based on the color characteristic and BP neural network
Wan, Peng
Tan, Hequn
Yang, Wanneng
Pan, Haibing
Journal of the Chinese Cereals and Oils Association, 2015, 30 (09) : 103 - 107
[50] Research of Oilfield Production Forecast Based on Least Squares Fitting and Improved BP Neural Network
Na, Wenbo
Su, Zhiwei
Zhang, Ping
MEASUREMENT TECHNOLOGY AND ENGINEERING RESEARCHES IN INDUSTRY, PTS 1-3, 2013, 333-335 : 1456 - +

← 1 2 3 4 5 →