CPC G06N 3/08 (2013.01) [G06N 3/04 (2013.01)] | 20 Claims |
1. A system, comprising:
at least one processor; and
at least one memory that stores executable instructions that, when executed by the at least one processor, facilitate performance of operations, comprising:
determining a scaling ratio that maps low mesh resolution predictive data output by a partial differential equation (PDE)-based model for a sub-domain to high-resolution observational or ground-truth data for a domain comprising the sub-domain,
wherein determining the scaling ratio comprises:
extracting patches, comprising overlapping boundaries, from the low mesh resolution predictive data and representing each extracting patch as a high-dimensional vector,
non-linearly mapping each high-dimensional vector onto another high-dimensional vector from the high-resolution observational or ground-truth data, and
aggregating high-resolution patch-wise representations corresponding to each non-linearly mapped vector to generate the high-resolution observational or ground-truth data; and
generating high mesh resolution predictive data for the domain with a machine-learning model using input data of the PDE-based model and the scaling ratio.
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