Car auxiliary control system using Type-II fuzzy logic and neural networks

被引：0
|
作者：
Fang, Peipei [1 ]
Zhang, Yan-Qing [1 ]
机构：
[1] Georgia State Univ, Dept Comp Sci, Atlanta, GA 30302 USA
来源：
APPLIED SOFT COMPUTING TECHNOLOGIES: THE CHALLENGE OF COMPLEXITY | 2006年 / 34卷
关键词：
Type-I fuzzy logic; Type-II fuzzy logic; neural networks; auxiliary control system;
D O I：
10.1007/3-540-31662-0_54
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a Type-II fuzzy and neural network system is introduced to car auxiliary control system for inexperienced drivers. The approach applies Type-II fuzzy logic to generate the training data set for the neural network. The Type-II fuzzy logic is launched by the component called the fuzzy controller. With Type-II fuzzy logic and neural network system, the auxiliary system can manipulate more driving conditions so that enables the neural network to predict more reliably. The results of the approach is compared with Type-I fuzzy/neural system and discussed in detail.
引用
收藏
页码：705 / 716
页数：12
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