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

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...

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Bibliographic Details
Main Authors: Shui-Li Chen, Guo-Long Chen, Yong-Li Niu, Guo-Rong Cai
Format: Conference Proceeding
Language:English
Subjects:
BP network
Fuzzy clustering
Fuzzy neural network
Fuzzy neural networks
Fuzzy reasoning
Fuzzy systems
Hydrocarbon reservoir recognition
Hydrocarbon reservoirs
Intelligent networks
Intelligent systems
Knowledge engineering
Neurons
Petroleum
Singular value decomposition
Transitive closure
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Summary: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.
DOI:10.1109/ISKE.2008.4730913