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加强风险管理的深度学习:分析财务报告的新方法

Xiangting Shi1, Yakang Zhang1, Manning Yu2

  • 1Industrial Engineering and Operations Research Department, Columbia University, New York, United States.

PeerJ. Computer science
|February 3, 2025
PubMed
概括

混合金融风险预测器 (HFRP) 模型,利用卷积神经网络 (CNN) 和长短期记忆 (LSTM) 网络,显著提高了金融风险评估. 这种由人工智能驱动的方法提高了预测财务风险的准确性和稳定性,以便更好地做出决策.

关键词:
深度学习是一种深度学习.财务分析 财务分析自然语言处理自然语言处理.神经网络的神经网络的神经网络风险管理 风险管理

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