Intelligent vehicle airhag controller design

被引：0
|
作者：
Mon, YJ [1 ]
Luo, KT [1 ]
机构：
[1] Chung Kuo Inst Technol, Dept Comp Sci & Informat Engn, Hsinchu, Taiwan
来源：
2004 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2004年
关键词：
fuzzy; vehicle airbag; algorithm design; FGNN;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An intelligent vehicle airbag controller design methodology is proposed in this paper. Firstly, the vehicle impact severity is analyzed to get four characteristic factors utilized as fuzzy inputs. From these four characteristics factors, the 'two stages fuzzy algorithm' is developed and used as the airbag deployment algorithm to identify the vehicle impact severity. Finally, the Fuzzy-Gaussian Neural Network (FGNN) is used to train the suitable fuzzy membership functions and fuzzy rules based on this proposed 'two stages fuzzy algorithm'. Simulation results for different vehicle crash data demonstrate the validity and effectiveness of the proposed design methodology.
引用
收藏
页码：908 / 913
页数：6
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