Drift Data Modeling of Laser Gyro Based on Neural Networks

Abstract

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.