Interpretable deep learning LSTM model for intelligent economic decision-making

作者：

Highlights：

• Two approaches for better economic prediction and intelligent decision-making.

• ML technique based on LSTM network to predict GDP growth and crises.

• XAI framework to interpret the outcome and derive country-specific patterns.

• Predict the probability of a crisis after COVID-19.

摘要

•Two approaches for better economic prediction and intelligent decision-making.•ML technique based on LSTM network to predict GDP growth and crises.•XAI framework to interpret the outcome and derive country-specific patterns.•Predict the probability of a crisis after COVID-19.

论文关键词：LSTM,Deep learning,Interpretable machine learning,Economic prediction

论文评审过程：Received 23 August 2021, Revised 29 January 2022, Accepted 23 April 2022, Available online 30 April 2022, Version of Record 12 May 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.108907