Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: http://dspace.tneu.edu.ua/handle/316497/33243
Назва: Self-Organizing Map Based Visualization Techniques and Their Assessment
Автори: Sirola, Miki
Talonen, Jaakko
Ключові слова: self-organizing map
data analysis
neural methods
visualization
Дата публікації: 2012
Видавництво: ТНЕУ
Бібліографічний опис: Sirola, М. Self-Organizing Map Based Visualization Techniques and Their Assessment [Text] / Miki Sirola, Jaakko Talonen // Computing = Комп’ютинг. - 2012. - Vol. 11, is. 2. - P. 96-103.
Короткий огляд (реферат): Our research group has been studying data-analysis based techniques in decision support and visualization. We had a long industrial research project in co-operation with a Finnish nuclear power plant Olkiluoto. We developed many decision support schemes based on Self-Organizing Map (SOM) method combined with other methodologies. Also several visualizations based on various data-analysis methods were developed. Data from the Olkiluoto plant and training simulator was used in the analysis. In this paper some of these visualizations are presented, analyzed, and assessed with a psychological framework. Measuring the information value of the visualizations is a real challenge. The developed visualizations and visualization techniques are also compared with some existing visualizations and techniques in current plants and research laboratories. The visualizations and the visualization techniques are developed further, and completely new visualizations and techniques are developed. We point out what additional value the new visualization techniques can produce. A detailed test case of using Self-Organizing Map (SOM) method with Olkiluoto plant data is presented. With this practical example the information value of this method is shown, and it is also pointed out how it can be assessed, and what are the most reliable criteria in this assessment.
URI (Уніфікований ідентифікатор ресурсу): http://dspace.tneu.edu.ua/handle/316497/33243
Розташовується у зібраннях:Комп'ютинг 2012 рік. Том 11. Випуск 2

Файли цього матеріалу:
Файл Опис РозмірФормат 
Sirola.pdf416.61 kBAdobe PDFПереглянути/Відкрити


Усі матеріали в архіві електронних ресурсів захищені авторським правом, всі права збережені.