Title :
Data mining based on a compensative fuzzy neural network
Author_Institution :
Sch. of River & Ocean, ChongQing JiaoTong Univ., Chongqing, China
Abstract :
A data mining method based on compensative fuzzy neural network is presented in this paper. The compensative fuzzy neural network based on compensative fuzzy logic and neural network and its study arithmetic are introduced. Considering its features as fast speed, steady studying course, global dynamic optimization, the compensative fuzzy neural network is applied to establish the model for data mining. The urban cadastral data mining is used as an example to prove it is feasible.
Keywords :
data mining; fuzzy logic; fuzzy neural nets; optimisation; compensative fuzzy logic; compensative fuzzy neural network; global dynamic optimization; urban cadastral data mining method; Artificial neural networks; Computer networks; Data mining; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy reasoning; Fuzzy systems; Neural networks; Neurons; cadastral data; compensative fuzzy neural network; data mining;
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
DOI :
10.1109/ICCDA.2010.5541353
