Share Email Print
cover

Proceedings Paper

Research on wind field algorithm of wind lidar based on BP neural network and grey prediction
Author(s): Yong Chen; Chun-Li Chen; Xiong Luo; Yan Zhang; Ze-hou Yang; Jie Zhou; Xiao-ding Shi; Lei Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper uses the BP neural network and grey algorithm to forecast and study radar wind field. In order to reduce the residual error in the wind field prediction which uses BP neural network and grey algorithm, calculating the minimum value of residual error function, adopting the residuals of the gray algorithm trained by BP neural network, using the trained network model to forecast the residual sequence, using the predicted residual error sequence to modify the forecast sequence of the grey algorithm. The test data show that using the grey algorithm modified by BP neural network can effectively reduce the residual value and improve the prediction precision.

Paper Details

Date Published: 12 January 2018
PDF: 9 pages
Proc. SPIE 10619, 2017 International Conference on Optical Instruments and Technology: Advanced Laser Technology and Applications, 106190O (12 January 2018); doi: 10.1117/12.2295346
Show Author Affiliations
Yong Chen, Southwest Institute of Technical Physics (China)
Chun-Li Chen, Southwest Institute of Technical Physics (China)
Xiong Luo, Southwest Institute of Technical Physics (China)
Yan Zhang, Guiyang Univ. (China)
Ze-hou Yang, Southwest Institute of Technical Physics (China)
Jie Zhou, Southwest Institute of Technical Physics (China)
Xiao-ding Shi, Southwest Institute of Technical Physics (China)
Lei Wang, Southwest Institute of Technical Physics (China)


Published in SPIE Proceedings Vol. 10619:
2017 International Conference on Optical Instruments and Technology: Advanced Laser Technology and Applications
Zhiyi Wei; Chunqing Gao; Pu Wang; Franz X. Kärtner; Jayanta Kumar Sahu; Liquan Dong, Editor(s)

© SPIE. Terms of Use
Back to Top