1 option
Classification of Time Series Measurement Data forLock-Up Clutch of Automatic Transmission ofVehicles Using Deep Convolutional Neural Networks Aisin AW Company, Limited
- Format:
- Conference/Event
- Author/Creator:
- Kawakami, Kawakami, author.
- Conference Name:
- WCX World Congress Experience (2018-04-10 : Detroit, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2018
- Summary:
- A newly developed classifying method for time series measurement data of automatic transmission of vehicles is presented. The proposed method uses deep convolutional neural networks to learn what is comfortable acceleration. In addition, our proposal method employs supervised learning based on experienced engineer's criterion. As a demonstrative problem, we consider the classification of time series measurement data for lock-up clutch control of an 8 speed automatic transmission
- Notes:
- Vendor supplied data
- Publisher Number:
- 2018-01-0399
- Access Restriction:
- Restricted for use by site license
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.