Monitoring of chemical processes is becoming increasingly difficult as a result of growing complexity and larger scale of operation. In this paper, Kohonen self-organizing map s (SOM) is used to monitor the operation of a lab-scale distillation column and to identify process states. SOM projects high -dimensional data to a lower two dimensional grid maps while preserving the metric relations of...

The purpose of the study was to find out whether the conceptual connection of emotion and motion is holding in the domain of personality traits. In a quantitative study 40 Estonian terms of personality traits were investigated and a conclusion was driven that, indeed, the qualities of emotionality and motion are perceived as co-present characteristics. In further data analysis some visualized m...

In this paper we introduce Self-Organizing Map-based techniques that can reveal structural cluster changes in two related data sets from different time periods in a way that can explain the new result in relation to the previous one. These techniques are demonstrated using a real-world data set from the World Development Indicators database maintained by the World Bank. The results verify that ...

The purpose of this study is to focus on the indicators related motivation in Work Mind, and organize concepts by Pile Sort experiments using sentences question items that compose each indicator. By polymerizing personal conceptual system Self-Organizing Map, map Mind with some degree completeness generality drawn. It expected will be a material for getting general picture treated as ruler when...