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" Each process element in the Kohonen layer measures the Euclidean distance of its weights to the input values (exemplars) fed to the layer. For example, if the input data consist of M-dimensional vectors of the form x = {x\,xi, . . .xM}, then each Kohonen... "
Exploratory Analysis of Metallurgical Process Data with Neural Networks and ... - 21. lappuse
autors: C. Aldrich - 2002 - 386 lapas
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Frothing in Flotation II: Recent Advances in Coal Processing, 2. sējums

Janusz Laskowski, E T Woodburn - 1998 - 386 lapas
...[19], as shown in Figure 8.2 (with N=2). Each process element or node in the Kohonen layer measures the distance of its weights to the input values (exemplars)...data consist of M-dimensional vectors of the form \ = {xl,x2, ...xM}, then the fth element in the Kohonen layer will have M weight values, which can...
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