A Hopfield neural network based ATM routing method for the IRIDIUM system

An efficient model for ATM routing in the IRIDIUM system is presented in this paper. The model tries to be as realistic as possible. A proper energy function is constructed from the constraints of the ATM routing concept which are clearly indicated. The combinatorial nature of the problem is clearly shown and a properly modified Hopfield neural network can be easily applied and give adequate solutions.