DocumentCode
2865160
Title
Traffic capacity analysis of a telephone line using artificial neural network (ANN)
Author
Ali, Darmawaty Mohd ; Yaacob, Norsuzila ; Osman, Mohd Fuzi Bin
Author_Institution
Fac. Electr. Eng., Universiti Teknologi MARA, Selangor, Malaysia
fYear
2004
fDate
5-6 Oct. 2004
Firstpage
215
Lastpage
219
Abstract
This report presents the application of an artificial neural network (ANN) for analysis of the traffic capacity of a telephone line. The objective of this paper is to forecast the network capacity (traffic) of a telephone line and identify traffic flows for the network in Shah Alam and Petaling Jaya. In this project, the back propagation ANN algorithm of has been chosen to train and test the data. The back propagation technique is selected since a large number of researchers have used it for many applications and reported its successful results in numerous technical conferences. Inputs of the analysis are weekday, weekend, public holiday and weather. A network with three and four inputs is tested and results obtained are compared in terms of analysis errors.
Keywords
backpropagation; neural nets; telecommunication congestion control; telephone traffic; PSTN congestion; analysis errors; artificial neural network; back propagation ANN; network capacity; telephone line traffic capacity analysis; Artificial neural networks; Circuits; Control equipment; Error analysis; Network servers; Telecommunication congestion control; Telecommunication traffic; Telephony; Testing; Urban areas;
fLanguage
English
Publisher
ieee
Conference_Titel
RF and Microwave Conference, 2004. RFM 2004. Proceedings
Print_ISBN
0-7803-8671-X
Type
conf
DOI
10.1109/RFM.2004.1411110
Filename
1411110
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