Data Fusion of Ultrasonic Wave Sensor Static State Based on BP Neural Network

Article Preview

Abstract:

Because Ultrasonic sensor is affected by temperature in the applications , the output of Ultrasonic sensor not only depends on objection parameter (distance) .The method of eliminating affection caused by non - object parameter based on BP neural network data fusion is adopted. The results show the method elimination affection based on neural network data fusion is feasible.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

877-881

Citation:

Online since:

November 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Kevin M Passion, Stephen Yurkovich. Fuzzy Control [M]., 2001, (11): 374-378.

Google Scholar

[2] Zhang Dan , Yu Chaomin , Li Dong. Data Fusion of Pressure Sensor Static State Based on BP Neural Network[J] Computer Measurement & Control, 2004, 12(6) 598- 600.

Google Scholar

[3] PAN Xiao1, GAO Yu-ling1, KANG Ya-na2. Intellectualized Temperature Control System of AT89C2051Singlechip Based on Fuzzy-PID [J]. Measurement and Control Technique, 2006, 25(6)65- 68.

Google Scholar

[4] LIU Quan-jin1 , SUN Cheng-x un2 , REN Guang-Yong 1. Applicat ion of Back- Propagation Netword Based on Genet ic Algorithm in Predicting Meiyu Precipitation[J]. Journal of Anqing Teachers College, 2004, 2(10): 98- 101.

Google Scholar