Title :
Using ANN To Predict The Best HUB Location
Author :
Aljunaid, A.B. ; AbuElMaaly, I. ; Sagahyroon, A.
Author_Institution :
Dept. of Electr. & Eng., Khartoum Univ.
Abstract :
The power and usefulness of artificial neural networks have been demonstrated in several applications including signal processing, speech recognition and robotic control. In this paper, we present the results of an attempt to assess the feasibility of using artificial neural networks in predicting the best hub location in a star topology local area network. The idea is to train the network to predict the position that would produce the most economical wiring or cabling plan, that is, the coordinates produced by the trained network are a reflection of the shortest path possible between the nodes in the network given the selected position of the hub
Keywords :
local area networks; neural nets; telecommunication network topology; artificial neural networks; cabling plan; hub location; robotic control; signal processing; speech recognition; star topology local area network; wiring plan; Artificial neural networks; Economic forecasting; Local area networks; Network topology; Power generation economics; Robot control; Robot kinematics; Signal processing; Speech recognition; Wiring;
Conference_Titel :
Circuits and Systems, 2006. APCCAS 2006. IEEE Asia Pacific Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0387-1
DOI :
10.1109/APCCAS.2006.342415
