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Research on Credit Risk Evaluation for Small and Medium-sized Enterprises in Supply Chain Based on BP Neural Network

机译：基于BP神经网络的供应链中小企业中小企业信用风险评估研究

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Abstract More attention to supply chain finance as a new form of financing channel is paid with the increasing highlight of the financing difficulty of small and medium-sized enterprises (SMEs). It is crucial for scientific and accurate risk assessment to control the control of the credit risk of supply chain finance. BP neural network model is used to open up a new way for credit risk assessment of SMEs based on the establishment and improvement of an index system of credit risk evaluation for SMEs. BP neural network model is a smart algorithm with self-learning and adaptive characteristics. The BP artificial neural network model was analyzed and detected in a practical case. The feasibility of the model was proved. The result is satisfactory. The model can be used to assess SMEs' credit risk in the supply chain.
机译：摘要在中小型企业融资难度的越来越大的亮点上，增加了对供应链金融的更多关注供应链金融。对科学和准确的风险评估至关重要，以控制控制供应链金融的信用风险。基于建立和改进中小企业的信用风险评估指标体系的建立和改进，BP神经网络模型用于开辟中小企业信用风险评估的新途径。 BP神经网络模型是一种具有自学习和自适应特性的智能算法。在实际情况下分析并检测到BP人工神经网络模型。证明了模型的可行性。结果是令人满意的。该模型可用于评估供应链中的中小企业的信用风险。

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