Suppression of spurious responses for a class of neural networks with application to telecommunications problems

This paper discusses the design of a neural network for solving some classes of combinatorial optimization problems in real time. By means of a suitable design procedure which is not based on energy arguments, it is guaranteed that the network is devoid of spurious responses. An important application is considered to a typical optimization problem arising in the telecommunications field. More specifically, we show how the neural network can be used to take decisions for switching packets and improve switching performance in a fast packet switching fabric with input buffers