基于RBF網(wǎng)絡(luò)的成都市失業(yè)預(yù)警系統(tǒng)模型研究.pdf

1、成都理工大學(xué)碩士學(xué)位論文基于RBF網(wǎng)絡(luò)的成都市失業(yè)預(yù)警系統(tǒng)模型研究姓名：于蘭申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：計(jì)算數(shù)學(xué)指導(dǎo)教師：龔灝20080501成都理工大學(xué)碩士學(xué)位論文Thesystemofunemploymentearly—warninginChengduCityIntmductionoftheauthor：、，ulan，female，wasbominSeptember，1982whosetutorwasAdjunctPmfessorGon

2、ghaoShegraduatedf如mChengduUniVersityofTechnologyinComutationalMathematicsmajorandwaS鱸antedtheMasterDegreeinJune2008AbstractUnderthebackgroundofconstrctingtheChengdu—Chongqineconomiczoneinscientificmethod，theissueofemploy

3、mentinChengduofwhichsignifjcantpeople’slivelihoodiswemustfaceforalongtimeTheestablishmentofthemodelonthesystemofunemploymentearly—waminginChengdu，willimplementdeVelopmentalstrategyofthejobenlargementunderthenewsituation，

4、improVepeople’slivelihood，consummatethesocialsecuritysystem，realizeChengdudepartmentstopanicipateinthemacroeconomicregulationandcontrol，andcompletepositiVelyemploymentworkThisarticlefirstlyaimsattheinsuf拜cinencyinthesyst

5、emOfunemploymentearlywamingofourcountrycurrently，researchestheconditionofearly‘waminginChengdu，estimatesthewaminglimit，systemicallyanalysesandsummarizesthewamingsOurce，andestablishesasetofunemploymentearly—wamingofindexs

6、ystem；SecOndly，wetaketheestablishedindexsystemofChengduasthefoundation，establishesthemodelofunemploymentearlywarning，bythemothedofRadialbasisneuralnetwork，withtheaidofhugeunemploymentdatainChen酣udepartmentsinrecentyearsA

7、lso，wetestifytheresultofunemploymentearlywarningbythemethodofSupponVrectorRegressionMachineFinaHyitmakesthegeneraleValuationandtheearlywamingforunemploymentrateinChengduaccordingtothedif!fusedexponentKeywords：TIhesystemo