| Documentation For Encog 2.x |
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Encog.Neural.Networks.Training.Competitive.Neighborhood Namespace
Namespace Hierarchy
Classes
| Class |
Description |
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NeighborhoodBubble
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A neighborhood function that uses a simple bubble. A width is defined, and any neuron that is plus or minus that width from the winning neuron will be updated as a result of training. |
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NeighborhoodGaussian
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A neighborhood function based on the Gaussian function. |
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NeighborhoodSingle
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A very simple neighborhood function that will return 1.0 (full effect) for the winning neuron, and 0.0 (no change) for everything else. |
Interfaces
| Interface |
Description |
|
INeighborhoodFunction
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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. |