Gompertz function based different network user number predicting method
A prediction method and a technology for the number of users, applied in electrical components, wireless communication, etc., can solve problems such as off-grid, reduction in the number of users, slowing down of the number of users, etc.
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Embodiment 1
[0033] This embodiment provides a method for predicting the number of users of different networks based on the Gompertz function. This method uses data mining technology to organically combine the customer life cycle and the Gompertz function, and through in-depth analysis of the inter-network call data of the mobile service users of the local network and the different network And mining, it can identify the life cycle of different network users, and dynamically and accurately predict the number of different network users.
[0034] Let the Gompertz function be Where k is the limit value of the index value, a is the growth rate of the index value, and b is the time point when the index reaches the maximum growth rate. According to the different values of parameters a and b, there are four different types of Gompertz curves. According to the function segmentation characteristics, four stages of the mobile service customer life cycle can be fitted. By observing the changes of...
Embodiment 2
[0086] This embodiment has described the computer program flow that realizes the method for predicting the number of different network users based on the Gompertz function. In this example, M=200, N=30, and the specific steps are as follows:
[0087] Step 201: Obtain the following data:
[0088] 1) The number of mobile service users of the local network who have made calls with mobile service users of other networks in a certain province for M consecutive months;
[0089] 2) The number of mobile service users of different networks who have made calls with mobile service users of the local network in a province in the last M consecutive months.
[0090] Step 202: Calculate the lg(lgy t -lgy t-1 );
[0091] If the results are approximately equal, that is, close to a constant, the Gompertz function is applied; otherwise, the Gompertz function is not applied and the program exits.
[0092] Step 203: After selecting the N groups of samples, divide them into three parts on avera...
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