首页 | 官方网站   微博 | 高级检索  
     

基于加性耦合连接的PCNN模型
引用本文:荣剑,赵同林,赵毅力,张晴晖.基于加性耦合连接的PCNN模型[J].现代电子技术,2011(22):126-128.
作者姓名:荣剑  赵同林  赵毅力  张晴晖
作者单位:西南林业大学计算机与信息学院;
基金项目:云南省教育厅基金资助项目(50107003)
摘    要:脉冲耦合神经网络(PCNN)比传统神经网络更好地模仿了生物神经元,既考虑空间累加,又考虑了时间累加。在此用加性耦合代替乘性耦合,在图像处理效果上与耦合和无耦合PCNN的效果相比,其差别较小,熵与耦合PCNN处理后图像的熵基本一致。但加性耦合连接的PCNN,改变了无耦合PCNN的周期特性,提供了停止条件,保持了PCNN的旋转不变性、缩放不变性等一些特性,同时保持了时间和空间上的积累,且迭代次数少,计算量相对较小,更适合于硬件实现。

关 键 词:PCNN  时间签名    加性耦合  乘性耦合

A PCNN Model Based on Plus-coupled Connection
RONG Jian,ZHAO Tong-lin,ZHAO Yi-li,ZHANG Qing-hui.A PCNN Model Based on Plus-coupled Connection[J].Modern Electronic Technique,2011(22):126-128.
Authors:RONG Jian  ZHAO Tong-lin  ZHAO Yi-li  ZHANG Qing-hui
Affiliation:RONG Jian,ZHAO Tong-lin,ZHAO Yi-li,ZHANG Qing-hui (College of Computer and Information Science,Southwest Forestry University,Kunming 650224,China)
Abstract:The pulse coupled neural network(PCNN) is better than the traditional neural network.It can imitate biological neurons with considering space and time accumulation.When plus-coupled is proposed instead of multiplicative-coupled in PCNN,the difference of image processing effect is tiny.The entropy of plus-coupled is approximate compared with that of coupled and non-coupled PCNN,but PCNN with the plus-coupled connection overcomes the periodicity of non-coupled PCNN,provides the stop conditions,and maintains r...
Keywords:PCNN  time signature  entropy  plus-coupled  multiplicative-coupled  
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号