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The goal of this study is to research a possibility of short — and long-term forecasting of the expected number of faults in broadband telecommunications networks using various prediction models. The experiment is conducted on actual live data collected from a telecommunications network in the period between 2009 and 2011 and the number of faults(More)
Due to ever rising need for higher bandwidth dictated by the increasing amounts and quality of services (Asymmetric Digital Subscriber Line (ADSL), Internet Protocol television (IPTV) and Voice over Internet Protocol (VOIP)), and the global development of technology, Fiber To The Home (FTTH) is becoming an affordable answer for the service provider. Before(More)
Growth of the telecommunications market brings more and more types of broadband services, and also the total amount of users who use broadband services is growing. All of this leads to increasing number of user interference, which may be caused by various reasons. Among the most common causes of errors may be faults in the access network, the failures of(More)
In this paper, we present a multivariate recurrent neural network model for short-time prediction of the number of failures that are expected to be reported by users of a broadband telecommunication network. An accurate prediction of the expected number of reported failures is becoming increasingly important to service providers. It enables proactive(More)
This paper compares two short-term prediction models of the expected number of faults in broadband telecommunication networks (BB network). These faults occur due to various causes. In order to improve the functionality, various routine or special maintenance (upgrades, replacement of equipment, add new functions, …) are often carried out in the BB(More)
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