A Multi-Clustering Algorithm to Solve Driving Cycle Prediction Problems Based on Unbalanced Data Sets: A Chinese Case Study

A Multi-Clustering Algorithm to Solve Driving Cycle Prediction Problems Based on Unbalanced Data Sets: A Chinese Case Study

Vehicle evaluation parameters, which are increasingly of concern for governments and consumers, quantify performance indicators, such as vehicle performance, emissions, and driving experience to help guide consumers in purchasing cars. While past approaches for driving cycle prediction have been pro...

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Bibliographic Details
Main Authors: Yuewei Wu, Wutong Zhang, Long Zhang, Yuanyuan Qiao, Jie Yang, Cheng Cheng
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
unbalanced data
driving cycle
multi-clustering algorithm
stacking algorithm
Online Access:https://www.mdpi.com/1424-8220/20/9/2448

Internet

https://www.mdpi.com/1424-8220/20/9/2448

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