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多维联想记忆神经网络在图像回忆中的应用
引用本文:杨家稳,孙合明,钟青,胡珊珊.多维联想记忆神经网络在图像回忆中的应用[J].计算机工程与应用,2010,46(4):186-188.
作者姓名:杨家稳  孙合明  钟青  胡珊珊
作者单位:1. 河海大学理学院,南京,210098;滁州职业技术学院,安徽,滁州,239000
2. 河海大学理学院,南京,210098
摘    要:多维联想记忆神经网络可以用来回忆灰度图像。投影算法是回忆算法中的一类。采用不规则凸多边形的笛卡儿积构成的凸集代替正多边形的笛卡儿积构成的凸集,前者比后者更紧凑。数值实例表明,应用前者回忆灰度图像要比应用后者回忆灰度图像得到的图像更清晰,回忆所花时间更短。

关 键 词:多维联想记忆神经网络  投影  灰度图像
收稿时间:2008-8-6
修稿时间:2008-11-10  

Application of multidimensional associative memory neural networks in image recalling
YANG Jia-wen,SUN He-ming,ZHONG Qing,HU Shan-shan.Application of multidimensional associative memory neural networks in image recalling[J].Computer Engineering and Applications,2010,46(4):186-188.
Authors:YANG Jia-wen  SUN He-ming  ZHONG Qing  HU Shan-shan
Affiliation:YANG Jia-wen,SUN He-ming,ZHONG Qing,et al.1.College of Science,Hohai University,Nanjing 210098,China 2.Chuzhou Vocational , Technical College,Chuzhou,Anhui 239000,China
Abstract:Multidimensional associative memory neural networks can be used for grayscale image recalling.Projection algorithm is one kind of recalling algorithm.One convex set which is Cartesian product of nonregular convex polygons is used instead of the other convex set which is Cartesian product of regular polygons.The former convex set is tighter than the latter convex set.Numerical examples show that the restored image is clearer and the recalling process spends less time when the former convex set is used.
Keywords:multidimensional associative memory neural networks  projection  grayscale image
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