Application of the Hopfield Neural Network for Ring Balance Optimization

Abstract

For the first time, a problem of balance of the imperfect ring resonator gyro with inhomogeneous angular mass distribution density is considered as a discrete optimization problem and a neural network algorithm is proposed for finding its solution. The algorithm is based on minimization of the two-dimensional Hopfield network and is analogous to original algorithms for solving some problems of discrete optimization, such as the traveling salesman problem (TSP).