Internet Financial Credit Risk Assessment with Sliding Window and Attention Mechanism LSTM Model

Internet Financial Credit Risk Assessment with Sliding Window and Attention Mechanism LSTM Model

With the accelerated pace of market-oriented reform, Internet finance has gained a broad and healthy development environment. Existing studies lack consideration of time trends in financial risk, and treating all features equally may lead to inaccurate predictions. To address the above problems, we...

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Bibliographic Details
Main Authors: Menggang Li, Zixuan Zhang, Ming Lu, Xiaojun Jia, Rui Liu, Xuan Zhou, Yingjie Zhang
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2023-01-01
Series:Tehnički Vjesnik
Subjects:
attention mechanism
credit risk
internet finance
LSTM
sliding window
time-series prediction
Online Access:https://hrcak.srce.hr/file/413377

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