Self-Organizing Map in Process Visualization

被引：0
|
作者：
Sirola, Miki [1 ]
Talonen, Jaakko [1 ]
机构：
[1] Aalto Univ, Dept Informat & Comp Sci, Helsinki, Finland
来源：
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT II: 15TH INTERNATIONAL CONFERENCE, KES 2011 | 2011年 / 6882卷
关键词：
Self-Organizing Map; Data Analysis; Visualization; Neural Methods;
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：
Our research group is studying data-analysis based techniques in decision support and visualization. We have had co-operation with a Finnish nuclear power plant Olkiluoto within a long industrial research project. We have developed many decision support schemes and visualizations based on self-organizing map (SOM) method combined with other methodologies. In this paper, we discuss about SOM method in the process visualization of dynamic systems. With a case example produced with the Olkiluoto plant data we show the information value of this method. Some comparisons to other methodologies are made and the assessment of the information value and the definition of the assessment criteria are discussed. The measurement of the information value is a challenging task.
引用
收藏
页码：196 / 202
页数：7
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