Pattern recognition based on weighted and supervised ART2

Chu Na, Ma Lizhuang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

It is crucial for TCM (Traditional Chinese Medicine) post-hepatitis cirrhosis diagnosis to accurately identify the syndrome. Meanwhile, the selection of features which are relevant to a certain TCM post-hepatitis cirrhosis syndrome not only improves the performance of the classifiers, but also provides well measure for treatment. Therefore, in this paper, we analyze the classical ART2(Adaptive Resonance Theory 2) neural network, such as the problem of pattern drifting and the same phase data with different amplitudes. Based on this, here, a novel network named SWART2 is proposed by taking dispersion testing and centroid computation learning, and introducing the weighted and supervised mechanism, which aims at improving ART2's ability of classification greatly for posthepatitis cirrhosis diagnosis. Experimental results in this paper showed that the new SWART2 performed better than classical ART2.

Original languageEnglish
Title of host publicationProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008
Pages98-102
Number of pages5
DOIs
StatePublished - 2008
Externally publishedYes
EventProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008 - Xiamen, China
Duration: 17 Nov 200819 Nov 2008

Publication series

NameProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008

Conference

ConferenceProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008
Country/TerritoryChina
CityXiamen
Period17/11/0819/11/08

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