Hyperband-Optimized CNN-BiLSTM with Attention Mechanism for Corporate Financial Distress Prediction

Hyperband-Optimized CNN-BiLSTM with Attention Mechanism for Corporate Financial Distress Prediction

In the context of new quality productive forces, enterprises must leverage technological innovation and intelligent management to enhance financial risk resilience. This article proposes a financial distress prediction model based on deep learning, combined with a CNN, BiLSTM, and attention mechanis...

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Bibliographic Details
Main Authors:	Yingying Song, Monchaya Chiangpradit, Piyapatr Busababodhin
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Series:	Applied Sciences
Subjects:	financial distress hyperband algorithm convolutional neural networks bidirectional long short-term memory attention mechanism
Online Access:	https://www.mdpi.com/2076-3417/15/11/5934
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