Study of image recognition based on chain competitive strategy

ZHANG Li; SONG Wei

doi:10.13873/j.1000-9787(2017)11-0067-03

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Study of image recognition based on chain competitive strategy

更新时间：2025-09-11

- Study of image recognition based on chain competitive strategy
- Vol. 36, Issue 11, Pages: 67-69(2017)
- 作者机构：
  
  昆明理工大学信息工程与自动化学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2017)11-0067-03
  CLC： TP18;TP391.41
- Published：2017
- 稿件说明：
移动端阅览
[1]张力,宋伟.基于链式竞争策略的图像识别研究[J].传感器与微系统,2017,36(11):67-69.

ZHANG Li, SONG Wei. Study of image recognition based on chain competitive strategy[J]. 2017, 36(11): 67-69.
[1]张力,宋伟.基于链式竞争策略的图像识别研究[J].传感器与微系统,2017,36(11):67-69. DOI： 10.13873/j.1000-9787(2017)11-0067-03.

ZHANG Li, SONG Wei. Study of image recognition based on chain competitive strategy[J]. 2017, 36(11): 67-69. DOI： 10.13873/j.1000-9787(2017)11-0067-03.

摘要

针对反向传播神经网络（BP-NN）在图像识别运算过程中容易陷入局部极小值的问题

提出了在常规的遗传算法（GA）中引入3个邻域的链式竞争

进行特征选择的图像识别方法。仿真结果表明:将引入链式竞争策略的遗传算法应用到反向传播神经网络中

可以使图像更清晰

提高了图像识别的容错性及效果。

Abstract

Aiming at problem that back propagation neural network（ BP-NN） is easy to fall into local minima in operation process in image recognition

introduce chain competition of three areas in the conventional genetic algorithm（ GA）. The improved GA is applied to BP-NN

which can make the image more clearer

and improve fault-tolerance and effect of image recognition.

关键词

Keywords

references

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