Self-Organizing Maps Teuvo Kohonen
Publisher: Springer

Identification of patterns over regional scales using self-organising maps on images from marine modelling outputs. An hybrid architecture for clusters analysis: rough setstheory and self-organizing map artificial neural network. In its basic form it produces a similarity map of input data (clustering). One of the most interesting aspects of Self-Organizing Feature Maps (Kohonen maps) is that they learn to classify data without supervision. Keywords: self-organizing maps, ocean modelling, pattern recognition, model output images. Self-organizing maps make use of viable learning method to teach itself in an uncontrolled approach. I plan to use the self-organizing maps as the mechanism to blend people's brainwave pattern together for analysis and visualization. We may take a live video feed, or several live video feeds, and chop them up into pieces which will be fed into a two dimensional self organizing map for display. Mestrado em Engenharia de Produção, Universidade Nove de Julho, São Paulo, SP, Brasil. The book presents the useful applications of SOM | InTechOpen. This model contains a implementation of the SOFM algorithm using Simulink's basic blocks. Here is a reference link to self-organizing maps in Processing. This article uses a loosely coupled strategy to combine the technique of self-organizing maps (SOM) with a new genetic algorithm (GA) for automatic identification of clusters in multidimensional environmental datasets.