Abstract: A competitive layered neural network learning algorithm based on random annealing is proposed and applied in
solving image feature binding problem.The proposed algorithm，instead of using serial iteration，uses a random optimization method in learning process；prevents the network from trapping into local optimum through using of the annealing technique.
Theoretical analysis proves that the proposed algorithm is equivalent to the dynamics of the competitive layered neural network.
Comparative experiments show that the proposed algorithm is capable of speeding up the network convergence as well
as improving the rationality of the results of feature binding.