Move adjacent neurons by precomputed alpha*(1-((i-j)^2/[r]^2)) in radpower[|i-j|]
Move neuron i towards biased (b,g,r) by factor alpha
Search for biased BGR values description: finds closest neuron (min dist) and updates freq finds best neuron (min dist-bias) and returns position for frequently chosen neurons, freq[i] is high and bias[i] is negative bias[i] = _gamma*((1/this._networkSize)-freq[i])
Original distance equation: dist = abs(dR) + abs(dG) + abs(dB)
Main Learning Loop
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sampling factor 1..30