نتایج جستجو برای: Self Organizing Map

تعداد نتایج: 726636  

Journal: :desert 2012
a. h. ehsani a malekian

during an 11 days mission in february 2000 the shuttle radar topography mission (srtm) collected data over 80% of the earth's land surface, for all areas between 60 degrees n and 56 degrees s latitude. since srtm data became available, many studies utilized them for application in topography and morphometric landscape analysis. exploiting srtm data for recognition and extraction of topographic ...

Journal: :Applied Intelligence 2004

Journal: :Neural Computation 2021

2000
Timo Honkela Teemu Leinonen Kirsti Lonka Antti Raike

In this article, the use of the self-organizing map (SOM) is approached on the basis of current theories of learning. Possibilities of computer and networked platforms that aim at helping human learning are also inspected. It is shown how the SOM can be considered a model of constructive learning. The area of constructive learning is outlined and two cases of using the self-organizing map in co...

Journal: :Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2007

2010
Ene Vainik Toomas Kirt Heili Orav

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...

2004
Y. S. Ng R. Srinivasan

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...

2009
Renata L. M. E. do Rego Hansenclever de F. Bassani Daniel Filgueiras Aluizio F. R. Araújo

A Maximum-likelihood connectionist model for unsupervised learning over graphical domains

1997
Dieter Merkl Andreas Rauber

We present two enhanced visualization techniques for the self-organizing map allowing the intuitive representation of input data similarity. The general idea of both approaches is to visualize the relationship of nodes to facilitate the detection of cluster boundaries without modifying the architecture or the basic training process of SOM. One approach mirrors the movement of weight vectors dur...

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