Package kohonen

Interface Summary

LearningDataModel

Obiect containg learning data.

Class Summary

LearningData	Obiect containing learning data.
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
WTALearningFunctionWithTired	WTALearningFunctionWithTired class - learnig class used to learn neurons with tiredness
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
WTMLearningFunctionWithTired	WTMLearningFunctionWithTired class - learnig class used to learn neuron with tiredness