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This repository was archived by the owner on Mar 6, 2021. It is now read-only.
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This repository was archived by the owner on Mar 6, 2021. It is now read-only.
The README says that the centers and radius are taken as follows:
centers are taken uniformly from the bounding hyperrectangle of the inputs, and
radius = max(||x-c||)/sqrt(n_centers*2)
but citation [2] only talks about ELM, and [3] talks about RBF, but the centers and radius are taken in a different way. Is the solution in this implementation an idea of @dclambert or is there a citation missing?
It seems a pretty critical issue to describe why this implementation uses this particular model. Also none of those two papers seem to describe why the activations from both ELM-RBF and ELM-MLP are summed (https://github.com/dclambert/Python-ELM/blob/master/elm.py#L357). It may be useful to set alpha to 0 or 1 to select between both, but a weighted average seems unfounded without justification.
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dclambert commentedon Jul 29, 2019
There is a citation missing. Unfortunately I’m not sure where I got this anymore.
javiribera commentedon Aug 13, 2019
It seems a pretty critical issue to describe why this implementation uses this particular model. Also none of those two papers seem to describe why the activations from both ELM-RBF and ELM-MLP are summed (https://github.com/dclambert/Python-ELM/blob/master/elm.py#L357). It may be useful to set alpha to 0 or 1 to select between both, but a weighted average seems unfounded without justification.