Abdul Rahman, Shuzlina and Wan Ishak, Wan Hussain and Tg. Osman @ Tg. Ramli, Tg. Halim (2004) Towards forecasting business prepaid mobile using neural network technology. In: Seminar Kebangsaan Sains Pemutusan 2004, Pemutusan Cekap Organisasi Cemerlang, 15-17 Disember 2004, Holiday Inn Resort, Penang. (Unpublished)

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Abstract

Prepaid mobile service has become necessity to the society and contributed success to many businesses. In order to be sustained in mobile telecommunication (Telco) industries, carriers need to plan their businesses as to ensure the increase use of their products and services. One of the strategles that can be applied in Telco industry is by forecasting the business trends using the appropriate technology that would assist the decision making process. This study explored the neural networks technology in analysing the historical customer requirements based on the teletraffic data that was produced from Telco peripherals. A Farecas Telco simulator was developed to experiment the capability of neural network technology in classifying the outputs. Several factors that contribute to the success of calls are determined. five types of output are categorized ranging from not very successful to very successful. The simulator managed to generalize with 98% of accuracy.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Anjuran Fakulti Sains Kuantitatif, Universiti Utara Malaysia
Uncontrolled Keywords:	telco, prepaid mobile, service control point, neural network, backpropagation
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	15 Aug 2011 07:36
Last Modified:	15 Aug 2011 07:36
URI:	https://repo.uum.edu.my/id/eprint/3456

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