Traffic prediction by neural approach

This article discusses the use of neural networks for flow control applications in military systems. The simulation model of ATM traffic sources is very briefly described and based on these models, the traffic parameters are shown to be adequately predicted by neural networks. This article presents the architectures of a neural controller and a neural network, and it describes a learning algorithm. The admission decision is made according to the prediction of a few quality of service parameters expected for the new connections.