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Decision of Shift-map Using Hierarchical Neural Network  

Choi, In-Chan (School of Information Technology Engineering, Korea University of Technology and Education)
Jeon, Hong-Tae (School of Electrical and Electronics Engineering, Chung-Ang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.48, no.1, 2011 , pp. 18-23 More about this Journal
Abstract
We have investigated the Intelligent Shift-map Module(ISM) to improve some problems in the conventional Automatic Transmission(AT) for automobiles. The typical AT lacks flexibility regarding the shift point because it does not consider the driver's habits and inclinations. Also it often is occurred phenomenon like kick-down. Therefore, we designed a decision module which considers the driving style of the individual driver. The driving style was determined by the inclination of the driver and the driving technique using actual automobile data. The Hierarchical Neural Network(HNN) was applied in generating an intelligent shift map with Multilayer Neural Network(MNN). It was found that the proposed ISM provided a suitable shift point and time because the necessary toque and velocity of the automobile was considered along with the driving style of each driver when designing the ISM.
Keywords
Intelligent Shift-map; Driver's habits; Inclination; Hierarchical neural network; Shift point;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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