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The System Of Unemployment Early-warning In Chengdu City

Posted on:2009-01-29Degree:MasterType:Thesis
Country:ChinaCandidate:L YuFull Text:PDF
GTID:2189360242993190Subject:Computational Mathematics
Abstract/Summary:PDF Full Text Request
Under the background of constrcting the Chengdu-Chongqin economic zone in scientific method, the issue of employment in Chengdu of which significant people's livelihood is we must face for a long time. The establishment of the model on the system of unemployment early-warning in Chengdu, will implement developmental strategy of the job enlargement under the new situation,improve people's livelihood,consummate the social security system,realize Chengdu departments to participate in the macroeconomic regulation and control, and complete positively employment work.This article firstly aims at the insufficinency in the system of unemployment early-warning of our country currently,researches the condition of early-warning in Chengdu,estimates the warning limit,systemically analyses and summarizes the warning source,and establishes a set of unemployment early-warning of index system;Secondly,we take the established index system of Chengdu as the foundation, establishes the model of unemployment early-warning, by the mothed of Radial basis neural network, with the aid of huge unemployment data in Chengdu departments in recent years.Also,we testify the result of unemployment early-warning by the method of Support Vector Regression Machine. Finally it makes the general evaluation and the early warning for unemployment rate in Chengdu according to the diffused exponent.
Keywords/Search Tags:The system of unemployment early-warning, Radial basis neural network, Support Vector Regression Machine, Diffused exponent
PDF Full Text Request
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