The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 28-371
Full Name: Raimundo Sampaio
Position: Professor
Age: ON
Sex: Male
Address: R. Visconde de Abrantes, 196
Country: BRAZIL
Tel: +55 41 3271 1333
Tel prefix:
Fax: +55 41 3271 1345
E-mail address: raimundo.sampaio@pucpr.br
Other E-mails: de.sampaio@brturbo.com.br
Title of the Paper: A New Artificial Neural Networks Approach to Forecast Model in Telecommunications
Authors as they appear in the Paper: Sacha Tadeu Branco, Raimundo José Borges de Sampaio
Email addresses of all the authors: raimundo.sampaio@pucpr.br, sacha.branco@siemens.com
Number of paper pages: 10
Abstract: Over the past decades the telecommunication market has been more and more deregulated and competitive, while more and more telecommunications technologies are available for the users. Companies operating in these markets have to rely on demand forecasts to justify their level of investments and ensure the capacity availability at the right time. With so many variables in this market, forecasting is becoming more challenging. This work presents a quantitative demand forecast model suitable to the market of telecommunication infrastructure equipments. Through an analysis on the characteristics of some of time series, causal and artificial intelligence forecasting tools, a neural network forecast model is recommended to be the appropriate method for an accurate forecast. After the inputs, outputs, and parameters definition, forecast simulations are performed and compared to the forecast quality method currently used by company under study. The results show that the us!
e of neural networks approach has a better performance than the currently company forecast method and also that it has a high potential of usage in this kind of market.
Keywords: Forecast for telecommunication market, artificial neural networks
EXTENSION of the file: .doc
Special (Invited) Session: A New Artificial Neural Networks to Forecast Model in Telecommunications
Organizer of the Session: 599-149
How Did you learn about congress: Guilerme Ernani Vieira - gui.vieira@pucpr.br
IP ADDRESS: 200.192.115.2
