Fuzzy Neural Network Model Based on Fuzzy Clustering and Its Applications A

被引：0

作者：

Chen, Shui-Li ^{[1
]}

Chen, Guo-Long ^{[2
]}

Niu, Yong-Li ^{[2
]}

Cai, Guo-Rong ^{[1
]}

机构：

[1] Jimei Univ, Sch Sci, Xiamen 361021, Fjian Province, Peoples R China

[2] Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Peoples R China

来源：

2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2 | 2008年

基金：

中国国家自然科学基金;

关键词：

Fuzzy neural network; Hydrocarbon reservoir recognition; Fuzzy clustering; Transitive closure; BP network;

D O I：

10.1109/ISKE.2008.4730913

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 fizzy 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.

引用

页码：137 / +

页数：2