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.
R., F., Forti, M., A., L., S., M., M., M. (1995). Suppression of spurious responses for a class of neural networks with application to telecommunications problemsProceedings of ISCAS'95 - International Symposium on Circuits and Systems. In Proceedings of ISCAS'95 - International Symposium on Circuits and Systems (pp.797-800). Piscataway, NJ : IEEE [10.1109/ISCAS.1995.519883].
Suppression of spurious responses for a class of neural networks with application to telecommunications problemsProceedings of ISCAS'95 - International Symposium on Circuits and Systems
FORTI, MAURO;
1995-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11365/27556
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo