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The authors of the paper propose a procedure which allows to eliminate variables with the smallest discriminating potential based on the measurement of ...
In the present paper a method of selecting variables based on the neural SOM net- work belonging to the second of the above types of methods will be presented.
The authors of the paper propose a procedure which allows to eliminate variables with the smallest discriminating potential based on the measurement of ...
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Apr 18, 2023 · Self Organizing Map (or Kohonen Map or SOM) is a type of Artificial Neural Network which is also inspired by biological models of neural systems from the 1970s.
Feb 22, 2021 · I am trying to learn about a type of unsupervised neural network called a "Self Organizing Map" (https://en.wikipedia.org/wiki/Self-organizing_map)
Video for Applying the Kohonen Self-Organizing Map Networks to Select Variables.
Duration: 33:39
Posted: May 12, 2020
Missing: Select | Show results with:Select
The authors of the paper propose a procedure which allows to eliminate variables with the smallest discriminating potential based on the measurement of ...
The objective of this paper was to apply Kohonen self-organizing maps (SOMs) to perform pattern recognition in four datasets of roadside soils samples obtained ...
This method aims to identify profitable stocks by combining technical analysis with a neural network and fuzzy logic system.
Video for Applying the Kohonen Self-Organizing Map Networks to Select Variables.
Duration: 4:26
Posted: Mar 7, 2021
Missing: Applying Select Variables.