Survey of current progress in random neural network
随机神经网络发展现状综述

Random neural network (RNN) is a special kind of artificial neural network,which is developed recently and has its own peculiarities on the structure,the learning algorithm,the state-updating rule and the applications.As a biological neural mathematical model,RNN has particular advantages of associative memory,image processing and combinatorial optimization.The current progress,the characteristics and the broad applications are elaborated in this paper.The applications on the combinatorial optimization problems solved by different networks such as Hopfield network,simulated annealing algorithm,Boltzmann machine and RNN are analyzed and contrasted.RNN is pointed out to be an effective approach to travelling saleman problem (TSP).