Customer Churn Modeling via the Grey Wolf Optimizer and Ensemble Neural Networks

Table 1

Paper classification.

Author	Year of publication	Goal	Model
Raju et al.	2022	Developed an approach to forecasting demand in the steel industry	Regression ensemble framework
Jafarzadeh et al.	2021	Provided an extended approach to the diagnosis of tumour	New machine learning approach
Jnr et al.	2021	Hybrid ensemble intelligent model for electricity demand forecasting	Swarm intelligence and artificial neural network
Moitra et al.	2020	Predict crude oil price	Short-term memory neural network
Salvi et al.	2019	Predict the future trend of brent oil prices	LSTM neural network
Yu et al.	2018	Proposed a hybrid method to predict customer churn	Neural networks and a particle swarm optimization algorithm