Z. Zhong

Design of a Deep Learning Credit Risk Early Warning System Integrating Multi-source Heterogeneous Data

A credit risk early warning system based on heterogeneous information fusion that employs a model architecture integrating deep neural networks and attention mechanisms to extract multidimensional features from diverse data sources such as transaction behaviors and social networks, thereby establishing an early identif...