Parallel Genetic Algorithms for Optimization of Modular Neural Networks in Pattern Recognition

被引：0
|
作者：
Valdez, F. [1 ]
Melin, P. [1 ]
Parra, H. [2 ]
机构：
[1] Tijuana Inst Technol, Div Grad Studies & Res, Mexico City, DF, Mexico
[2] Tijuana Inst Technol, Mexico City, DF, Mexico
来源：
2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2011年
关键词：
CLASSIFICATION; EXPECTATION; CELLS;
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 described in this paper the use of Modular Neural Networks (MNN) for pattern recognition in parallel using a cluster of computers with a master-slave topology. In this paper, we are proposing the use of MNN to face recognition with large databases to validate this approach. Also, a parallel genetic algorithm to optimization architecture was used.
引用
收藏
页码：314 / 319
页数：6
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