SUPERVISED PATTERN RECOGNITION WITH POTENTIAL FUNCTIONS METHOD

被引：0
|
作者：
Ruxanda, Gheorghe [1 ]
机构：
[1] Bucharest Acad Econ Studies, Dept Econ Cybernet, Bucharest, Romania
来源：
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH | 2009年 / 43卷 / 02期
关键词：
supervised pattern recognition; discriminant analysis; artificial intelligence; potential functions;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
In this paper, the potential functions method is analyzed, as (nonlinear) supervised pattern recognition method. In this context, the theoretical fundamentals of the potential functions are analyzed, the constructing modality is described and the physical nature of these functions is explained, The classification criterion based on the potential functions method is defined and the practical modality of using the potential functions, for supervised pattern recognition, is illustrated.
引用
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页码：43 / 60
页数：18
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