Improvement and application of template method in fuzzy pattern recognition

被引：0
|
作者：
Niu, YL [1 ]
Nuang, L [1 ]
Zhao, HM [1 ]
Chen, SL [1 ]
机构：
[1] Fuzhou Univ, Sch Math & Comp Sci, Fuzhou 350002, Fujian, Peoples R China
来源：
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年
关键词：
fuzzy pattern; template method; least square regression; hydrocarbon reservoir recognition;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Template method, which is one of the commonly used methods for establishing a fuzzy pattern database, plays an important role in fuzzy pattern recognition. In this paper an improved template method is proposed, which is called FPLS method. It is better than traditional template as it is used for establishing the fuzzy pattern recognition data base. At the same time in combination with the problems existed in Tarim Oilfield, a model, of which pyrolysis parameters are used as characteristic indexes for oil-gas recognition, is proposed for effective improved the parameters.
引用
收藏
页码：2727 / 2730
页数：4
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