A research on an incomplete data intelligent processing expandable algorithm

Author

Yuke, Wei ; Jiangping, Li ; Renhuang, Wang ; Qun, Chen ; Mei, Liu

Author_Institution

Fac. of Comput., Guangdong Univ. of Technol., Guangdong

fYear

2008

fDate

2-4 July 2008

Firstpage

5167

Lastpage

5170

Abstract

In this paper, the author introduces an expandable algorithm. This algorithm bases on the analysis of object and its datapsilas characteristics: such as similarity, complexity, invisibility (or visibility), degree of association, rate of appearance, dominant and recessive. By combine with fuzzy neural network and expandable thinking, this article analyses the incomplete information, complex data intelligent inference expandable algorithm. Also by embedding competitive neural networkpsilas computing model, the algorithm can be realized. The application result of the algorithm on complex traditional Chinese medicine (TCM) indicates: the algorithm can be applied well to process perplexing TCM clinical data.

Keywords

fuzzy neural nets; medical information systems; complex data intelligent inference expandable algorithm; complex traditional Chinese medicine; fuzzy neural network; Algorithm design and analysis; Artificial intelligence; Computer networks; Data processing; Fuzzy neural networks; Humans; Inference algorithms; Intelligent networks; Medical diagnostic imaging; Neural networks; Diagnosis of TCM; Expand; Fuzzy neural network; Intelligent processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2008. CCDC 2008. Chinese

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-1733-9

Electronic_ISBN

978-1-4244-1734-6

Type

conf

DOI

10.1109/CCDC.2008.4598315

Filename

4598315