本文選題：地方政府 + 債務(wù)風(fēng)險��； 參考：《現(xiàn)代電子技術(shù)》2017年11期

【摘要】：為了科學(xué)、合理地對地方政府債務(wù)風(fēng)險進行評價,提出基于數(shù)據(jù)挖掘技術(shù)的地方政府債務(wù)風(fēng)險評價模型。首先建立地方政府債務(wù)風(fēng)險評價的指標(biāo)體系,采用灰色關(guān)聯(lián)分析方法確定地方政府債務(wù)風(fēng)險指標(biāo)的關(guān)聯(lián)系數(shù);然后利用數(shù)據(jù)挖掘技術(shù)——神經(jīng)網(wǎng)絡(luò)自動處理數(shù)據(jù)的優(yōu)點,建立地方政府債務(wù)風(fēng)險評價模型;最后通過實證分析驗證模型的可信度。實證結(jié)果表明,與參比地方政府債務(wù)風(fēng)險評估模型相比,該模型提高了地方政府債務(wù)風(fēng)險評價的準(zhǔn)確性,加快了地方政府債務(wù)風(fēng)險評價的速度,可以有效降低地方政府債務(wù)風(fēng)險,具有一定的推薦價值。
[Abstract]:In order to evaluate the local government debt risk scientifically and reasonably, a local government debt risk assessment model based on data mining technology is proposed.Firstly, the index system of local government debt risk assessment is established, and the correlation coefficient of local government debt risk index is determined by grey relational analysis, and then the advantage of data mining technology-neural network is used to automatically process the data.The risk assessment model of local government debt is established, and the credibility of the model is verified by empirical analysis.The empirical results show that compared with the reference local government debt risk assessment model, the model improves the accuracy of local government debt risk assessment and accelerates the speed of local government debt risk assessment.Can reduce the local government debt risk effectively, has certain recommendation value.
【作者單位】： 葫蘆島市委黨校;
【分類號】：F812.5;TP311.13
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本文編號：1760553