Neural network implementation of admission control

A feedforward layered network implements a mapping required to control an unknown stochastic nonlinear dynamical system. Training is based on a novel approach that combines stochastic approximation ideas with back(cid:173) propagation. The method is applied to control admission into a queueing sys(cid:173) tem operating in a time-varying environment.