Artificial Neural Network training using metaheuristics for medical data classification: An experimental study

作者：

Highlights：

• Artificial Neural Network training using metaheuristic algorithms.

• An experimental study in medical data classification.

• Performance analysis using multi-criteria decision making.

• Equilibrium Optimizer shows superior performance over the competitive algorithms.

摘要

•Artificial Neural Network training using metaheuristic algorithms.•An experimental study in medical data classification.•Performance analysis using multi-criteria decision making.•Equilibrium Optimizer shows superior performance over the competitive algorithms.

论文关键词：Artificial Neural Network,Metaheuristics,Medical data classification,Multi-criteria decision making

论文评审过程：Received 23 December 2020, Revised 17 October 2021, Accepted 15 December 2021, Available online 7 January 2022, Version of Record 12 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116423