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Identification method of crank call

A technology of harassing calls and identification methods, applied in the field of communication big data, can solve problems such as the flood of harassing calls and life troubles

Active Publication Date: 2018-04-20
GUANGZHOU JOYSLIM NETWORK TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the era of big data, while the rapid development of mobile communication brings convenience to people, it also makes some people use mobile communication services to spread some harassing information for commercial purposes, resulting in the flood of harassing calls and bringing great troubles to people's lives.

Method used

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  • Identification method of crank call
  • Identification method of crank call
  • Identification method of crank call

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0065] The specific implementation manner of the present invention is described in conjunction with the description of the accompanying drawings. In order to prove the superiority of the present invention, the present invention performs experimental simulation recognition on call records. The concrete implementation example implementation steps of a kind of harassing call identification method of the present invention are as follows:

[0066] S1. Perform data processing on the acquired original call record data, including data noise reduction, abnormal data identification and repair, and normalization. After 7 consecutive days of call record data are used as training samples and test samples.

[0067] S2. Establish a harassing call identification model based on the backpropagation neural network:

[0068]

[0069] where x 1 ,x 2 ,..,x n is the input variable, n=13 is the number of input layer nodes, n 1 =8 is the number of hidden layer nodes, w ij (0≤w ij ≤1, i=1,2,…,...

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Abstract

The present invention discloses an identification method of a crank call. The method comprises the steps of: establishing a crank call identification model based on a back propagation neural network;designing input and output variables of the back propagation neural network; designing a particle swarm optimization to calculate an initial back propagation neural network parameter so as to improvethe precision and the convergence speed of the back propagation neural network; providing a method for establishing a training data set and a verification data set to improve the training efficiency;and calculating an identification effect assessment value of the back propagation neural network, and identifying whether a calling number is a crank call, a normal call or a suspected crank call or not by employing a back propagation neural network with the maximum identification effect assessment value. The identification method of a crank call is accurate and rapid, and good in anti-crank calleffect.

Description

technical field [0001] The invention belongs to the field of communication big data, and in particular relates to a method for identifying harassing calls. Background technique [0002] In the era of big data, while the rapid development of mobile communication brings convenience to people, it also makes some people use mobile communication services to spread some harassing information for commercial purposes, resulting in the flood of harassing calls and bringing great troubles to people's lives. . How to effectively identify harassing calls, build a green and safe network, and research on harassing calls identification and monitoring and interception technology has become a hot issue at present. Contents of the invention [0003] The purpose of the present invention is to solve the deficiencies in the current existing technology, and proposes a particle swarm algorithm optimized backpropagation neural network harassing call identification method. Set up the harassing c...

Claims

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Application Information

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IPC IPC(8): G06N3/08H04M1/665H04M3/436
CPCG06N3/084H04M1/665H04M3/436
Inventor 周兆全邵延富
Owner GUANGZHOU JOYSLIM NETWORK TECH
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