Supervised learning formulation
#3
by orado - opened
Hello Proxima Team!
Is my understanding correct that you are looking to build an ai-based tool which (1) consumes desired metrics like aspect ratio, elongation, magnetic mirror ratio, etc. (from ArXiv paper, Table 2), and (2) produces an optimized plasma boundary?
As if you ran a set of tools to produce the candidate boundaries, ran Oracle, and selected the 'best' of the resulting optimized boundaries.
Thank you!
Sasha
orado changed discussion status to closed
orado changed discussion status to open
Or you are looking to approximate an Oracle and subsequent evaluation?
Essentially, is it a mapping boundary-to-metrics, metrics-to-boundary, or something in between?