Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Application of machine learning to viscoplastic flow modeling   We present a method to construct reduced-order models for duct flows of
Bingham media. Our method is based on proper orthogonal decomposition (POD) to
find a low-dimensional approximation to the velocity and artificial neural
network to approximate the coefficients of a given solution in the constructed
POD basis. We use well-established augmented Lagrangian method and
finite-element discretization in the "offline" stage. We show that the
resulting approximation has a reasonable accuracy, but the evaluation of the
approximate solution several orders of magnitude times faster.

11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga