Algorithms of Extracting Fuzzy Rules from Sample Data
How to extract or mining knowledge from mass of datum are one of research field in Data Mining. Kxtracting fuz/ rules from sample data through taking the advantage of neural network. According to the fuzzy method in fuzzy control technology, a fuzzy language variable be generated in mining approach. To present a bi-direction training algorithm based on BP algorithm in neural network, which depends on the training of membership function, the screening of fuzzy language, decision about the correlation between properties in the network. To tailor the correlations in trained network, and make a list of candidate rules by clustering algorithm to extract the fuzzy rules.
data mining fuzzy rule neural network algorithm
Zhao Yan
Departmeni of Computer Science and Application Zhengzhou Institute of Aeronautical Industry Management, ZZIA Zhengzhou, China
国际会议
厦门
英文
823-827
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）