Samouczące się sieci GNG w grupowaniu dynamicznym zbiorów o wysokim wymiarze
Self-learning neural network of gng type in the dynamic clustering of high-dimensional data

Summary/Abstract: In the article the author presents the results of simulation research that involves the use of self-organizing neural networks of GNG type in the dynamic clustering high-dimensional data. The author performed two independent experiments on the generated data. He measured the learning speed of neural networks depending on the size of the data. It seems that the results of research confirm the usefulness of GNG neural network in the dynamic clustering.

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