Research on Optimization Algorithm of Minimum Entropy Value Using Hopfield Neural Network

In high speed processing system, using common optimization algorithm to solve minimum entropy, it is slow and could produce "explosive" with computation dimension increasing. According to this problem, this paper carry out an improved Hop field neural network optimization algorithm, introducing the punish operator, and make it applied to the minimum entropy value calculation. Calculation results show that Hop field neural network can efficiently solve the minimum entropy of constraint condition, high speed and cann't happen "explosive".