In this paper we propose a Neural Knowledge DNA based framework that is capable of learning from the car’s daily operation. The Neural Knowledge DNA is a novel knowledge representation and reasoning approach designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing devices. We examine our framework for drivers' classification based on their driving behaviour. The experimental data is collected via smart-phone sensors. The initial results are presented and the direction for our future research is defined.
Authors
- Haoxi Zhang,
- Fei Li,
- Juan Wang,
- Lei Shi,
- Cesar Sanín,
- prof. dr hab. inż. Edward Szczerbicki link open in new tab
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1080/01969722.2016.1276780
- Category
- Publikacja w czasopiśmie
- Type
- artykuł w czasopiśmie wyróżnionym w JCR
- Language
- angielski
- Publication year
- 2017