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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Published in | 2008 3rd International Conference on Intelligent System and Knowledge Engineering Vol. 1; pp. 137 - 140 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.11.2008
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Subjects | |
Online Access | Get full text |
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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. |
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ISBN: | 9781424421961 1424421969 |
DOI: | 10.1109/ISKE.2008.4730913 |