Predicting Green Consumption Behaviors of Students Using Efficient Firefly Grey Wolf-Assisted K-Nearest Neighbor Classifiers

Predicting Green Consumption Behaviors of Students Using Efficient Firefly Grey Wolf-Assisted K-Nearest Neighbor Classifiers

Understanding the green consumption behaviors of college students is highly demanded to update the public and educational policies of universities. For this purpose, this research is devoted to advance an efficient model for identifying prominent features and predicting the green consumption behavio...

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Bibliographic Details
Main Authors: Hua Tang, Yueting Xu, Aiju Lin, Ali Asghar Heidari, Mingjing Wang, Huiling Chen, Yungang Luo, Chengye Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
K-nearest neighbor
firefly algorithm
grey wolf algorithm
opposition-based learning
green consumption behavior
feature selection
Online Access:https://ieeexplore.ieee.org/document/8998214/

Internet

https://ieeexplore.ieee.org/document/8998214/

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