基于BP-DS模型的银行物流金融信用风险研究
기우BP-DS모형적은행물류금융신용풍험연구
On the Logistics Finance Credit Risk of the Bank Based on BP-DS Model
  • 万方数据
    价值工程 개치공정
    VALUE ENGINEERING
    2015年 6期 17-18 ,共2页

    潘永明%刘辉辉%朱茂东

    반영명%류휘휘%주무동

    物流金融%信用风险%BP网络%证据理论 物流金融%信用風險%BP網絡%證據理論
    물류금융%신용풍험%BP망락%증거이론
    logistic finance%credit risk%BP network%evidence theory
    本文采用了一种将证据理论与BP神经网络相结合的信息融合算法，该方法集中了两种算法的优势使得计算结果更加准确，为众多商业银行带来切实的利益。
    본문채용료일충장증거이론여BP신경망락상결합적신식융합산법，해방법집중료량충산법적우세사득계산결과경가준학，위음다상업은행대래절실적이익。
    This paper uses the information fusion algorithm by the combination of evidence theory and BP neural network, this approach focuses the advantages of the two algorithms to make the results more accurate and bring tangible benefits for many commercial banks.
    원문보기 원문다운로드 사이트로이동
저자의 최근 논문