Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem

作者：

Highlights：

• Development of a multiclass spiking neural classifier with time-varying weights.

• Meta neuron-based learning algorithm for a spiking neural classifier.

• Improve computational power of a compact spiking neural classifier.

• A spiking neural classifier for high imbalance classification problems.

摘要

•Development of a multiclass spiking neural classifier with time-varying weights.•Meta neuron-based learning algorithm for a spiking neural classifier.•Improve computational power of a compact spiking neural classifier.•A spiking neural classifier for high imbalance classification problems.

论文关键词：Spiking neural network,Time-varying weight model,Credit scoring,Class imbalance,Supervised learning

论文评审过程：Received 27 October 2020, Revised 21 March 2021, Accepted 22 March 2021, Available online 3 May 2021, Version of Record 3 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114985