Neural Models and Methods of Routing in Dynamical Telecommunication Systems
Abstract
The paper deals with problems for neural one-address and multi-address routing of data flows in global telecommunication systems with fixed or changing dynamics. Models and methods for creation of neural routers in characterized modes of multi-address routing of data flows are suggested.
How to cite
Сырцев А.В., Тимофеев А.В. Нейросетевые модели и методы маршрутизации в динамических телекоммуникационных системах // Нейрокомпьютеры: разработка, применение. 2005. № 10-11.