Input signals normalization in Kohonen neural networks

被引：0

作者：

Bielecki, Andrzej ^{[1
]}

Bielecka, Marzena ^{[2
]}

Chmielowiec, Anna ^{[3
]}

机构：

[1] Jagiellonian Univ, Inst Comp Sci, Fac Math & Comp Sci, PL-30072 Krakow, Poland

[2] AGH Univ Sci & Technol, Fac Gel Geophys & Envirom Protect, Dept Geoinformat & Appl Comp Sci, Krakow, Poland

[3] Jagiellonian Univ, Fac Phys Astron & Appl Comp Sci, Dept Comp Design & Graph, PL-30059 Krakow, Poland

来源：

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2008, PROCEEDINGS | 2008年 / 5097卷

关键词：

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：

In this paper a Kohonen self-organizing competitive algorithm is considered. A formal approach to classification problem, basing on equivalence relations, is proposed. The Kohonen neural networks are considered as classifying systems. The main topic of this paper is proposal of applying stereographic projection as an input signals normalization procedure. Both theoretical justification is discussed and results of experiments are presented. It turns out that the introduced normalization procedure is effective.

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页码：3 / +

页数：3

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