Title :
Communication network planning using artificial neural networks
Author_Institution :
Nat. Univ. of Sci. & Technol., Rawalpindi, Pakistan
Abstract :
A strategic plan of a digital communication system for one of the most underdeveloped areas of the world is described in the paper. Communication network planning using the usual computer programs was not effective. A trainable system of artificial neural networks is shown to have advantages in this unusual situation. A neural network switch used for the dimensioning of trunks is shown to give an economical solution to this problem when compared with the estimate by various well known vendors
Keywords :
circuit switching; digital communication; network topology; neural nets; telecommunication computing; artificial neural networks; communication network planning; digital communication system; dimensioning; neural network switch; trainable system; trunks; underdeveloped areas; Artificial neural networks; Communication networks; Computer architecture; Computer networks; Costs; Economic forecasting; Environmental economics; Neural networks; Process planning; Switches;
Conference_Titel :
Singapore ICCS '94. Conference Proceedings.
Print_ISBN :
0-7803-2046-8
DOI :
10.1109/ICCS.1994.474132
