A method to improve performance of heteroassociative morphological memories

Authors:
Naiqin Feng;Yushan Zhang;Lianhui Ao;Shuangxi Wang
Affiliations:
College of Computer & Information Technology, Henan Normal University, Xinxiang, China;College of Computer & Information Technology, Henan Normal University, Xinxiang, China;College of Computer & Information Technology, Henan Normal University, Xinxiang, China;College of Computer & Information Technology, Henan Normal University, Xinxiang, China
Venue:
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Year:
2011

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Abstract

General speaking, the heteroassociative morphological memory (HMM) is incomplete, namely, it cannot give a guarantee of perfect recall memory, even though without any input noises. The paper focuses on the problem and proposes a new method to improve performance of heteroassociative morphological memories. This method can realize the perfect recall of HMMs for perfect inputs or within a certain range of noises. An example is provided to illustrate the proposed method and its performance.