Share Email Print
cover

Proceedings Paper

Selection of neural network structure for system error correction of electro-optical tracker system with horizontal gimbal
Author(s): Xing-fa Liu; Ming Cen
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

Neural Network system error correction method is more precise than lest square system error correction method and spheric harmonics function system error correction method. The accuracy of neural network system error correction method is mainly related to the frame of Neural Network. Analysis and simulation prove that both BP neural network system error correction method and RBF neural network system error correction method have high correction accuracy; it is better to use RBF Network system error correction method than BP Network system error correction method for little studying stylebook considering training rate and neural network scale.

Paper Details

Date Published: 14 November 2007
PDF: 5 pages
Proc. SPIE 6722, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 67221B (14 November 2007); doi: 10.1117/12.782994
Show Author Affiliations
Xing-fa Liu, Institute of Optics and Electronics (China)
Ming Cen, Chongqing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 6722:
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies

© SPIE. Terms of Use
Back to Top