Adding intelligence to cars using the neural knowledge DNA

Title: Adding intelligence to cars using the neural knowledge DNA
Creator: Zhang, Haoxi; Li, Fei; Wang, Juan; Wang, Zuli; Shi, Lei; Zhao, Jun; Sanín, Cesar; Szczerbicki, Edward
Relation: Cybernetics and Systems Vol. 48, Issue 3, p. 267-273
Publisher Link: http://dx.doi.org/10.1080/01969722.2016.1276780
Publisher: Taylor & Francis
Resource Type: journal article
Date: 2017
Description: In this paper, we propose a Neural Knowledge DNA (NK-DNA)-based framework that is capable of learning from the car’s daily operations and reusing such learned knowledge in future tasks. The NK-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 behaviors. The experimental data are collected via smartphone sensors. The initial results are presented, and the direction for our future research is defined.
Subject: Decisional DNA; deep learning; knowledge representation; neural networks; set of experience knowledge structure
Identifier: http://hdl.handle.net/1959.13/1350309
Identifier: uon:30527
Identifier: ISSN:0196-9722
Language: eng
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