Research on Deep Adaptive Clustering Method Based on Stacked Sparse Autoencoders for Concrete Truck Mixers Driving Conditions

Existing standard driving conditions fail to accurately characterize the complex characteristics of heavy-duty commercial vehicles such as concrete truck mixers (CTMs), while traditional dimensionality reduction methods have strong empirical dependence and an insufficient ability to capture nonlinea...

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Bibliographic Details

Published in:	World Electric Vehicle Journal
Main Authors:	Ying Huang, Fachao Jiang, Haiming Xie
Format:	Article
Language:	English
Published:	MDPI AG 2025-10-01
Subjects:	concrete truck mixers stacked sparse autoencoder deep features extraction adaptive clustering algorithm
Online Access:	https://www.mdpi.com/2032-6653/16/10/581