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›› 2005, Vol. 31 ›› Issue (02): 222-224.

• 论文 • 上一篇    下一篇

模糊Kohonen网络在烟叶分类中的应用

曹均阔,叶水生,丁香乾   

  1. 南昌航空工业学院计算机系,南昌航空工业学院计算机系,中国海洋大学信息工程中心 南昌 330034
  • 发布日期:2005-01-25

Application of Fuzzy Kohonen Network in Tobacco Clustering

CAO Junkuo1,YE Shuisheng1,DING Xiangqian2   

  1. (1.Dept.of Computer,Nanchang Institute of Aeronautical Technology,Nanchang 330034;2.Information Engineering Center,Ocean University of China,Qingdao 266071)
  • Published:2005-01-25

摘要: 对于分类问题的处理有很多经典方法,但近年来因为人们对神经网络理论及其应用的重视,使得Kohonen网络(KN)越来越受到普遍关注。该文利用模糊控制策略将模糊c-均值算法与经典的Kohonen算法有机地结合起来,使网络性能到了很大改善。

关键词: 神经网络, Kohonen网络, 模糊c-均值, 模糊Kohonen网络

Abstract: Although there are many classical algorithms in the clustering problem, Kohonen network has been got more and more attention for people pay regard to the theory and application of neural network in the latest year. This paper integrates fuzzy c-means model as the fuzzy control mechanism into Kohonen network, the capability of Kohonen network is improved much.

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