An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting

作者：

Highlights：

• An innovative ensemble model is proposed for Covid-19 forecasting.

• A new type of heuristic optimization algorithm (SCWOA) is introduced.

• Four neural networks are selected to predict the Covid-19 outbreak.

• The SCWOA is used to optimize the best matching weights of the ensemble model.

摘要

•An innovative ensemble model is proposed for Covid-19 forecasting.•A new type of heuristic optimization algorithm (SCWOA) is introduced.•Four neural networks are selected to predict the Covid-19 outbreak.•The SCWOA is used to optimize the best matching weights of the ensemble model.

论文关键词：COVID-19 forecasting,Ensemble forecasting,Neural network,Optimization algorithm

论文评审过程：Received 4 January 2022, Revised 8 July 2022, Accepted 30 August 2022, Available online 5 September 2022, Version of Record 7 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118746