Self-Organizing Maps epub

Self-Organizing Maps Teuvo Kohonen
Publisher: Springer

Training of a SOM (48-dimensional *) map. A little on self-organizing maps and the machine vision library OpenCV.. Map size 20x20, 400 weight vectors 1424 epochs of training. The goal of self organizing maps (SOM) is to reduce the dimensionality of a set of vectors to a grid, so the set can be displayed in a 2D (or 3D) map. Applications of Self-Organizing Maps Edited by Magnus Johnsson The self-organizing map first described by the Finnish scientist Teuvo Kohonen can by applied to a wide range of fields. Keywords: self-organizing maps, ocean modelling, pattern recognition, model output images. Identification of patterns over regional scales using self-organising maps on images from marine modelling outputs. I have been working on a program that groups images using a self organizing map, the training of the self organizing map appears to work fine but when i try get. Few software packages relate to self-organization as such, but many do show self-organized behaviour in the context of more specialised topics . Catchment classification by runoff behaviour with self-organizing maps (SOM) R.