The model employs the k-ε turbulence model to approximate unsteady Reynolds-averaged Navier-Stokes equations.
The method employs a Gaussian mixture distribution model to approximate the probabilistic distribution of a nonlinear system response.
... In this work, we use a spiking neural network model to approximate the free energy of a restricted Boltzmann machine and apply it to the solution of PORL (partially observable reinforcement learning) problems with high-dimensional observations.
To reduce computation expenses, an artificial neural network (ANN) was used as a proxy (surrogate model) to approximate the behavior of the actual wellbore model.
In this manuscript, we present a computational model to approximate the solutions of a partial differential equation which describes the growth dynamics of microbial films.
The adequacy of the developed surrogate model to approximate the functional form of the first fundamental frequency is verified through various statistical and experimental methods.
Second, this study presents a simplified analytical solution, based on the finite line source model, to approximate the average temperature change in any energy pile.
In this paper, using the "S -curve model to approximate the reS -curvef IRFPA detectors, an imodeled too-point correction approximates presenthe.
Then we evaluate the constructed surrogate model to approximate the values of the flash calculation results from this surrogate during the simulations.
In this paper, we propose a method for approximating penalty-based contact forces in yarn-yarn collisions by computing the exact contact response at one time step, then using a rotated linear force model to approximate forces in nearby deformed configurations.
Other element that distinguishes this work from others is that it is not proposed as an outlier detector but as an algorithm that determines the best subset of input vectors by the time of building a model to approximate it.
