Examples of NeighborhoodFunction

org.encog.neural.som.training.basic.neighborhood.NeighborhoodFunction
Defines how a neighborhood function should work in competitive training. This is most often used in the training process for a self-organizing map. This function determines to what degree the training should take place on a neuron, based on its proximity to the "winning" neuron. @author jheaton

Examples of org.encog.neural.som.training.basic.neighborhood.NeighborhoodFunction

      t = RBFEnum.MexicanHat;
    } else {
      t = RBFEnum.Gaussian;
    }


    NeighborhoodFunction nf = null;


    if (neighborhoodStr.equalsIgnoreCase("bubble")) {
      nf = new NeighborhoodBubble(1);
    } else if (neighborhoodStr.equalsIgnoreCase("rbf")) {
      final String str = holder.getString(

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Examples of org.encog.neural.som.training.basic.neighborhood.NeighborhoodFunction

      t = RBFEnum.MexicanHat;
    } else {
      t = RBFEnum.Gaussian;
    }


    NeighborhoodFunction nf = null;


    if (neighborhoodStr.equalsIgnoreCase("bubble")) {
      nf = new NeighborhoodBubble(1);
    } else if (neighborhoodStr.equalsIgnoreCase("rbf")) {
      final String str = holder.getString(

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