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| Packages that use kohonen | |
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| kohonen | |
| Classes in kohonen used by kohonen | |
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| LearningDataModel
Obiect containg learning data. |
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| WTALearningFunction
Winner Takes All - algorytm there only winnig neuron weights are changed according to the formula w(k+1) = w(k) + n * (x-w) where w(k+1) - neuron weight in k +1 interation w(k) - neruon weight for k iteration n - value of learning function factor for k iteriation x - learning vector od data w - neuron weight |
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| WTMLearningFunction
Winner Takes Most - algorytm where winnig neuron and neurons in neighboorhood weights are changed according to the formula w(k+1) = w(k) + n *N(i,x)* (x-w) where w(k+1) - neuron weight in k +1 interation w(k) - neruon weight for k iteration n - value of learning function factor for k iteriation N(i,x) - value of neighboorhood function for i - specified neuron x - learning vector od data w - neuron weight |
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