For the University of Louisville Electrical and Computer Engineering Class, ECE 613 “Computational Methods for Data Analysis” taught by Dr Zurada, we were instructed to find a demo of Kohnen Self Organizing Feature Maps (SOFM), or for extra credit to create one of our own. I read a brilliant tutorial about SOFM and updated the java version of their example demo to work with Processing. I also added a user interface which allows for the selection of the input vectors. Thanks AI Junkie for the tutorial and backend code. If anyone is interested in neural networks or SOFM please check out their tutorials. I have hosted the Processing sketch at OpenProcessing.org, but unfortunately WordPress does not allow the applet to be directly embedded in this blog.

Kohonen’s Self Organizing Feature Map Demo