Prediction of Access Line Growth

Jerome T. Connor

Bell Communications Research Morristown, N.J. 07960 USAconnor@faline.bellcore.com

Abstract

The revenue of a telephone company is strongly related to the number of its access lines. Accurate forecasts of a company’s future revenue will be possible only if the future access line growth is predicted accurately. This work models the access line growth at the operating company level. A baseline neural network access line predictor is demonstrated that is superior to a simple AR model. Finally, more complicated access line growth models are discussed and access line time series with level shifts are presented.

The revenue of a telephone company is strongly related to the number of its access lines. ...

Get Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.