refractoring
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@@ -28,7 +28,7 @@ function learn!(kfn::kfn_1, correctAnswer::AbstractVector)
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for (i, out) in enumerate(outs)
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for (i, out) in enumerate(outs)
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if out != correctAnswer[i] # need to adjust weight
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if out != correctAnswer[i] # need to adjust weight
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kfnError = ( (kfn.outputNeuronsArray[i].v_th - kfn.outputNeuronsArray[i].vError) *
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kfnError = ( (kfn.outputNeuronsArray[i].v_th - kfn.outputNeuronsArray[i].vError) *
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100 / kfn.outputNeuronsArray[i].v_th ) * 0.1 # 0.1 for scaling down error
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100 / kfn.outputNeuronsArray[i].v_th )
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Threads.@threads for n in kfn.neuronsArray
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Threads.@threads for n in kfn.neuronsArray
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# for n in kfn.neuronsArray
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# for n in kfn.neuronsArray
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