neural network res
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Selbstorganisierende Karte – Wikipedia
Als Selbstorganisierende Karten , Kohonenkarten oder Kohonennetze (nach Teuvo Kohonen ; engl. self-organizing map , SOM bzw. self-organizing feature map , SOFM) bezeichnet man eine Art von künstlichen neuronalen Netzen . Sie sind als unüberwachtes Lernverfahren ein leistungsfähiges Werkzeug des Data-Mining . Ihr Funktionsprinzip beruht auf der biologischen Erkenntnis, dass viele Strukturen im Gehirn eine lineare oder planare Topologie aufweisen. Die Signale des Eingangsraums, z. B. visuelle Reize, sind jedoch multidimensional. Es stellt sich also die Frage, wie diese multidimensionalen Eindrücke durch planare Strukturen verarbeitet werden.aber total ^^ aber irgendwie a wieder geil :D by Feb 4
SOM tutorial part 1
This tutorial is the first of two related to self organising feature maps. Initially, this was just going to be one big comprehensive tutorial, but work demands and other time constraints have forced me to divide it into two. Nevertheless, part one should provide you with a pretty good introduction. Certainly more than enough to whet your appetite anyway! I will appreciate any feedback you are willing to give - good or bad. My ears are always open for praise, constructive criticism or suggestions for future tutorials.
Self Organizing Map AI for Pictures
Introduction this article is about creating an app to cluster and search for related pictures. i got the basic idea from a Longhorn demo in which they showed similar functionality. in the demo, they selected an image of the sunset, and the program was able to search the other images on the hard drive and return similar images. there are other photo library applications that offer similar functionality. honestly ... i thought that was pretty cool, and wanted to have some idea how they might be doing that. internally, i do not know how they actually operate ... but this article will show one possibility. also writing this article to continue my AI training Kohonen SOM
