Configuration of large scale advection diffusion models with predetermined rules

摘要

A computer-implemented method for configuring an advection diffusion model may include retrieving, via a processor, a plurality of advection diffusion model parameters indicative of model extremes of the advection diffusion model, retrieving, via the processor, convergence area information indicative of a convergence area for the advection diffusion model, determining, via the processor, an accuracy metric for each of the plurality of advection diffusion model parameters, selecting, via the processor, an optimal advection diffusion model parameter from the plurality of advection diffusion model parameters, and configuring, via the processor, the advection diffusion model with the optimal advection diffusion model parameter.

主权项

1. A computer-implemented method for configuring an advection diffusion model, the computer-implemented method comprising:
retrieving, via a processor, a plurality of advection diffusion model parameters indicative of model extremes of the advection diffusion model; retrieving, via the processor, convergence area information indicative of a convergence area for the advection diffusion model; determining, via the processor, an accuracy metric for each of the plurality of advection diffusion model parameters;selecting, via the processor, an optimal advection diffusion model parameter from the plurality of advection diffusion model parameters, wherein selecting the optimal advection diffusion model parameter comprises:
identifying two advection diffusion model parameters from the plurality of advection diffusion model parameters, wherein the identification is based on residual error; evaluating a half distance between the two advection diffusion model parameters; and
outputting a third advection diffusion model parameter, wherein the third advection diffusion model parameter is a union of the two advection diffusion model parameters comprising at least one characteristic similar to the advection diffusion model and at least one new parameter setting for the advection diffusion model based on an accuracy metric of the at least one characteristic; and configuring, via the processor, the advection diffusion model with the optimal advection diffusion model parameter.