Name
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISKE.2008.4730913 | Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference |
Keywords | DocType | Volume |
hypostasis,fuzzy clustering,fuzzy set theory,pattern clustering,tarim oilfield,transitive closure,bp network,hydrocarbon reservoir recognition,fuzzy theory,oil-gas recognition,fuzzy neural network model,backpropagation,fuzzy neural network,feature extraction,fuzzy neural nets,oil technology,bp neural network,satisfiability,knowledge engineering,intelligent systems,neural network,testing,artificial neural networks | Conference | 1 |
Issue | ISSN | ISBN |
null | null | 978-1-4244-2197-8 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shui-Li Chen | 1 | 54 | 14.92 |
| Guolong Chen | 2 | 52 | 11.10 |
| Yong L. Niu | 3 | 0 | 0.34 |
| Guo-Rong Cai | 4 | 58 | 11.42 |