VLR (Visitor Location Register) user number predicting method based on gray system model neural network
A neural network and gray system technology, applied in the field of new telecommunication business forecasting method, can solve problems such as inability to intuitively describe telecommunication business fluctuations, inability to intuitively describe telecommunication business fluctuations, change response is not obvious, etc., to improve forecasting level and response Ability, slow breakthrough speed, and high prediction accuracy
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[0029] The method for predicting the number of VLR users based on the gray system model neural network of the present invention will be described in detail below in conjunction with the embodiments.
[0030] like figure 1 Shown, the VLR user number prediction method based on gray system model neural network of the present invention, comprises the steps:
[0031] (1) Obtain the number of VLR (Visitor Location Register) users in a city for 3 years (36 months) as the basic detection data.
[0032] Obtaining other factors that have an impact on the number of VLR users in the embodiments of the present invention are: the market share of mobile companies in this city, mobile phone penetration rate, the number of holidays per month, the disposable income of residents and the permanent residence in this city every month. Population, the above data can be obtained from yearbooks and operator market statistics tables.
[0033] When inputting data into matrix A, the number of VLR users...
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