An Improved Neural Network Optimization Method

In order to solve the problem of temperature drift for fiber optic gyroscope, the neural network is used to construct the temperature drift model. The neural network is easy to fall into local minimum, the convergence speed is slow, the genetic algorithm is used to optimize neural network. The genetic algorithm has the problem of premature convergence is early in species, the mixed algorithm is used, the genetic algorithm is improved. The simulation results show that the neural network optimization method can predict the temperature of fiber optic gyroscope drift effectively.