基于BP神经网络的融通仓业务风险评价研究

Research on Risk Evaluation of Financing Warehouse Based on BP Neural Network

融通仓业务作为物流金融的一种创新模式,对于解决中小企业融资问题,降低企业库存的资金占用率,提升物流企业盈利能力有重要意义。经过对目前的风险评价方法进行比较后,选择了BP神经网络展开研究。根据风险识别,建立起融通仓风险指标体系,采集了10组融通仓业务风险样本,通过学习训练和仿真检验,构建融通仓业务风险评价模型。研究成果给第三方物流企业开展融通仓业务风险评价提供思路,且为其业务运营提供科学的决策依据。

As an innovative mode of logistics finance,financing warehouse is of great significance for solving the financing problems of SMEs and reducing the capital occupancy rate of enterprise inventory,then improving the profitability of logistics enterprises.After comparing the current risk assessment methods,BP neural network was selected for research.According to the risk identification,a risk consistency index system was established.Ten groups of financing business risk samples were collected.After the simulation and inspection,the financing business was established.Risk assessment model.The research results provide ideas for the third party logistics enterprises to carry out risk assessment of warehouse financing business,and provide scientific decision-making basis for their management and operation.