A fuzzy neural network model based on fuzzy clustering and its applications

Author

Chen, Shui-Li ; Guo-Long Chen ; Niu, Yong-Li ; Cai, Guo-Rong

Author_Institution

Sch. of Sci., Jimei Univ., Xiamen, China

Volume

1

fYear

2008

fDate

17-19 Nov. 2008

Firstpage

137

Lastpage

140

Abstract

Fuzzy neural network, which is based on fuzzy theory and BP neural network, plays an important role in practical. But the difficulty is how to construct its structure model. In this paper, according to the hypostasis of hidden layer, a fuzzy neural network model based on fuzzy clustering is brought forward, in which features of the samples are extracted and output information is synthetically considered. And a satisfied result is reached in the application of oil-gas recognition in Tarim Oilfield.

Keywords

backpropagation; feature extraction; fuzzy neural nets; fuzzy set theory; oil technology; pattern clustering; BP neural network; Tarim Oilfield; feature extraction; fuzzy clustering; fuzzy neural network model; fuzzy theory; hypostasis; oil-gas recognition; Fuzzy neural networks; Fuzzy reasoning; Fuzzy systems; Hydrocarbon reservoirs; Intelligent networks; Intelligent systems; Knowledge engineering; Neurons; Petroleum; Singular value decomposition; BP network; Fuzzy clustering; Fuzzy neural network; Hydrocarbon reservoir recognition; Transitive closure;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Xiamen

Print_ISBN

978-1-4244-2196-1

Electronic_ISBN

978-1-4244-2197-8

Type

conf

DOI

10.1109/ISKE.2008.4730913

Filename

4730913