Personal Credit Default Prediction Model Based on Convolution Neural Network

It has great significance for the healthy development of credit industry to control the credit default risk by using the information technology. For some traditional research about the credit default prediction model, more attention is paid to the model accuracy, while the business characteristics o...

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Veröffentlicht in:	Mathematical problems in engineering 2020, Vol.2020 (2020), p.1-10
Hauptverfasser:	Zhou, Xiang, Jiang, Yefeng, Zhang, Wenyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Convolution Correlation analysis Credit scoring Datasets Dimensional analysis Discriminant analysis Feature extraction Industrial development Interest rates Model accuracy Neural networks Performance evaluation Prediction models Principal components analysis Risk management Support vector machines
Online-Zugang:	Volltext
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