首页|基于ARIMA-LSTM的企业财务长期变化趋势预测算法

基于ARIMA-LSTM的企业财务长期变化趋势预测算法

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为了准确预测企业财务长期变化趋势,文章提出一种基于ARIMA-LSTM的企业财务长期变化趋势预测算法。通过设计ARIMA算法模型,并结合LSTM模型架构,实现基于ARIMA-LSTM的企业财务长期变化趋势预测。实验发现文中所设计方法的预测准确性较高,拟合性能更优。
A Prediction Algorithm for Long-term Change Trend of Enterprise Finance Based on ARIMA-LSTM
In order to accurately predict the long-term change trend of enterprise finance,a prediction algorithm for the long-term change trend of enterprise finance based on ARIMA-LSTM is proposed.By designing ARIMA algorithm model and combining with LSTM model architecture,the long-term change trend prediction of enterprise finance based on ARIMA-LSTM is realized.The experiment found that the designed method has high prediction accuracy and better fitting performance.

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杨静、刘炯

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宣城职业技术学院 信息与财经学院,安徽 宣城 242000

自回归移动平均模型 长短期神经网络算法 企业财务 财务趋势

2024

湖北文理学院学报
湖北文理学院

湖北文理学院学报

CHSSCD
影响因子:0.164
ISSN:2095-4476
年,卷(期):2024.45(2)
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