Neural networks for ATM traffic control

Abstract

This thesis presents the application of the newly developed minimal radial basis function neural network called Minimal Resource Allocation Network (MRAN) to solve the traffic control problems in Asynchronous Transfer Mode (ATM) networks. Special focus has been given to the congestion control scheme and the and the Available Bit Rate (ABR) flow control scheme.