Drift Data Modeling of Laser Gyro Based on Neural Networks

摘要：

This paper is about laser gyro drift data modeling by RBF and BP neural network.Compare neural networks effect by calculating MSE of the simulation data. The MSE of simulated data improved 50％ compare with original data. The calculated data prove that BP and RBF neural network can reflect the tendency of drift data changed with temperature, and fit the test data exactly.

作者: Y M Shao Z Zhao L Wang H O He

作者单位: Department of Automatic Control, Northwestern Polytechnical University, Xian,China

会议类型: 国际会议

会议名称: 第四届仪器科学与技术国际会议( 4th International Symposium on Instrumentation and Science and Tcchnology)

会议地点: 哈尔滨

会议语种:英文

页码: 128-133

在线出版日期: 2006-08-08（万方平台首次上网日期，不代表论文的发表时间）