On Thu, 23 Apr 2015 09:15:47 -0500, Ole Ersoy wrote:
It's the case for the only example that was mentioned in this thread
with sufficient level of details so as to permit concrete
statements:
it's the SOFM implementation (in package
"o.a.c.m.ml.neuralnet.sofm").
The shared structure is the "Network" instance.
Can the KohonenTrainingTask be decomposed further so tasks gets the
data it needs (Not the whole Network instance), performs the work,
and
returns an instance that can then be applied to the Network?
The training is:
For each element in the training set {
Find the "best" neuron, i.e. scan the whole network
Update the "best" neuron's attributes.
}
Best regards,
Gilles
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