Smart Shift Decision Method Based on Stacked Autoencoders
Manual calibration and testing on real vehicles are common methods of generating shifting schedules for newly developed vehicles. However, these methods are time-consuming. Shifting gear timing is an important operating parameter that affects shifting time, power loss, fuel efficiency, and driver co...
Main Authors: | Zengcai Wang, Yazhou Qi, Guoxin Zhang, Lei Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2018-01-01
|
Series: | Journal of Control Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/1098753 |
Similar Items
-
Vision-Based Lane Departure Detection Using a Stacked Sparse Autoencoder
by: Zengcai Wang, et al.
Published: (2018-01-01) -
Recognition of rock–coal interface in top coal caving through tail beam vibrations by using stacked sparse autoencoders
by: Guoxin Zhang, et al.
Published: (2016-11-01) -
Image fusion based on shift invariant shearlet transform and stacked sparse autoencoder
by: Peng-Fei Wang, et al.
Published: (2018-06-01) -
Stacked Autoencoder Framework of False Data Injection Attack Detection in Smart Grid
by: Liang Chen, et al.
Published: (2021-01-01) -
Method of extracting gear fault feature based on stacked autoencoder
by: Shuo Liu, et al.
Published: (2019-12-01)