Face recognition using modular neural networks and fuzzy Sugeno integral for response integration

被引：0
|
作者：
Melin, P [1 ]
Gonzalez, C [1 ]
Gonzalez, F [1 ]
Castillo, O [1 ]
机构：
[1] Tijuana Inst Technol, Dept Comp Sci, Tijuana, Mexico
来源：
Proceedings of the International Joint Conference on Neural Networks (IJCNN), Vols 1-5 | 2005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 a new approach for pattern recognition using modular neural networks with a fuzzy logic method for response integration. We proposed a new architecture for modular neural networks for achieving pattern recognition in the particular case of human faces. Also, the method for achieving response integration is based on the fuzzy Sugeno integral. Response integration is required to combine the outputs of all the modules in the modular-network. We have applied the new approach for face recognition with a real database of faces from students of our institution.
引用
收藏
页码：349 / 354
页数：6
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