Image recognition using synergetic neural network

被引：0
|
作者：
Gou, SP [1 ]
Jiao, LC [1 ]
机构：
[1] Xidian Univ, Inst Intelligent Informat Proc, Xian 710071, Shaanxi, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 2, PROCEEDINGS | 2005年 / 3497卷
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：
A method for texture image recognition using Synergetic Neural Network (SNN) [1] technique is presented. The method combines Immune Clonal Strategy (ICS) [2] with fuzzy clustering to train the prototype vectors in SNN, which is used to classify object images into groups. Simulation results show the proposed algorithm not only reduces complexity of computing but also improves the image recognition performance of SNN. Moreover, the discussion has been made of multi-class recognition using SNN in this paper.
引用
收藏
页码：286 / 291
页数：6
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