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![]() Variations on Simple Competitive networks: Adaptive Resonance Theory (ART) The number of nodes at the output layer is variable. Hence the number of clusters formed is flexible and depends on the input data.
Kohonen Self-Organizing Maps (SOM) While in simple competitive networks only the winner learns, in SOM's learning occurs at nodes that are in a neighborhood of the winner. Back to the usages of neural networks. |