journal6 ›› 2005, Vol. 26 ›› Issue (3): 111-114.

• 科研简报 • 上一篇    下一篇

一类新的模糊关联存储器模型

  

  1. (1.广州航海高等专科学校计算机与信息工程系,广东 广州 510725;2.广东商学院数学系,广东 广州 510320)
  • 出版日期:2005-07-15 发布日期:2012-09-22

A Novel Fuzzy Associative Memory Model

  1. (1.Department  of  Computer Science and Information Technology,Guangzhou Maritime College,Guangzhou 510725,China;2.Department of Mathematics,Guangdong Business College,Guangzhou 510320,China)
  • Online:2005-07-15 Published:2012-09-22
  • About author:ZENG Xiu (1970-),male,was born in Shaodong County,Hunan Province,lecturer of Guangzhou Maritime College;research area is artificial intelligence.

摘要:在运算(∧,·)和(∨,·)的基础上,提出了一类新的模糊关联存储器模型(FAMM),并证明了利用基于运算(∧,·)的FAMM处理扩张性噪声和利用基于运算(∨,·)的FAMM处理消减性噪声是非常有效的.最后,通过一种核方法对混合噪声进行处理,取得较好效果.

关键词: 关联存储器, 自动关联, 能力, 神经网络

Abstract: The author presents a novel fuzzy   associative memory model(FAMM) based on fuzzy operation (∧,·)  and (∨,·).FAMM with (∧,·) is robust for dilative noise and FAMM with (∨,·) is extremely robust for erosive noise.In addition,if the input patterns contain both dilative and erosive noise,indirect approach using kernel vectors is discussed.

Key words: associative memory, autoassociative, capability, neural network

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