Adaptive noise cancellation using type-2 fuzzy logic and neural networks

被引：0
作者：
Castillo, O [1 ]
Melin, P [1 ]
机构：
[1] Tijuana Inst Technol, Dept Comp Sci, Tijuana, Mexico
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS | 2004年
关键词：
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：
We describe in this paper the use of type-2 fuzzy logic for achieving adaptive noise cancellation. The objective of adaptive noise cancellation is to filter out an interference component by identifying a model between a measurable noise source and the corresponding un-measurable interference. In this paper, we propose the use of type-2 fuzzy logic to find this model. The use of type-2 fuzzy logic is justified due to the high level of uncertainty of the process, which makes difficult to find appropriate parameter values for the membership functions.
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页码：1093 / 1098
页数：6
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