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Neural Network Programming with Java by Fábio M. Soares, Alan M.F. Souza

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Kohonen self-organizing maps (SOMs)

This network architecture was created by the Finnish professor Teuvo Kohonen at the beginning of the 80s. It consists of one single-layer neural network capable of providing a "visualization" of the data in one or two dimensions.

Tip

Theoretically, a Kohonen network would be able to provide a 3D (or even a higher-dimensional) representation of the data; however, in printed material, such as this book, it is not possible to show 3D charts without overlapping some data. Thus, in this book, we are going to deal only with 1D and 2D Kohonen networks.

The major difference between the Kohonen SOMs and the traditional single-layer competitive neural networks is the concept of neighborhood neurons. While in a neural network, ...

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