Integrating environmental, technological and financial data in forest industry analysis

被引：0

作者：

Vesanto, J ^{[1
]}

Vasara, P ^{[1
]}

Helminen, RR ^{[1
]}

Simula, O ^{[1
]}

机构：

[1] Helsinki Univ Technol, FIN-02015 HUT, Finland

来源：

NEURAL NETWORKS: BEST PRACTICE IN EUROPE | 1997年 / 8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：

The Self-Organizing Map (SOM) is a powerful neural network method for the analysis and visualisation of high-dimensional data. In this paper, the SOM algorithm is applied to the analysis of the technology of world paper and pulp industry. It is seen that the method can be used on environmental, technological and financial data to produce a comprehensive view of the industry as a whole.

引用

页码：153 / 156

页数：4

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