Title :
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
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;
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
DOI :
10.1109/CCDC.2008.4598315
