Proposing Storage Location Assignment Using Self-Organizing Map on Network Topology

Automated Network Drawing Using Self-Organizing Map

In this paper, a method for automatically creating circuit schematic diagrams from the topological information contained in network data files has been proposed. This method is based on Self-Organizing Map (SOM) neural network and the basic idea behind the method is to let the network span itself according to a given “shape” of the network grid. The topology of a network is defined by the conne...

Time topology for the self-organizing map

Time information of the input data is used for evaluating the goodness of the Self-Organizing Map to store and represent temporal feature vector sequences. A new node neighborhood is defined for the map which takes the temporal order of the input samples into account. A connection is created between those two map nodes which are the best-matching units for two successive input samples in time. ...

Classification of Streaming Fuzzy DEA Using Self-Organizing Map

The classification of fuzzy data is considered as the most challenging areas of data analysis and the complexity of the procedures has been obstacle to the development of new methods for fuzzy data analysis. However, there are significant advances in modeling systems in which fuzzy data are available in the field of mathematical programming. In order to exploit the results of the researches on ...

Landforms identification using neural network-self organizing map and SRTM data

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 ...

Mobile radio access network monitoring using the self-organizing map