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Self-Organizing Maps
Self-organizing maps
Introduction: Kohonen Self-Organizing Map

Following Gurney (1997), for example, we define a neural network (NN) as a collection of interrelated nodes. Definitions of this nature remove the need to rely on analogies of the brain and take us into more general domains, in which the nodes amount to what are known more familiarly as variables. Neural network techniques have become an accepted part of the ‘toolkit’ available to researchers in numerous fields. There are other less well-known NN techniques which also hold much potential, and perhaps the most notable of these is the Kohonen Self-organizing map (SOM). Neelakanta (1999) described self-organization as the ‘progressive formation within the system of sequential, ordered relationships between the interacting dynamic variables’. One might also describe the phenomenon as ...

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