In the paper, the synthesis of boundary conditions in a doubly-connected domain is accomplished by means of a single-layer neural network. In this way, the classical problem of magnetic field continuation is solved utilizing innovative tools instead of classical regularization approach.

Synthesis of Boundary Conditions in Magnetics: a Neural Network Approach

Barmada S.;Fontana N.;Tucci M.
2024-01-01

Abstract

In the paper, the synthesis of boundary conditions in a doubly-connected domain is accomplished by means of a single-layer neural network. In this way, the classical problem of magnetic field continuation is solved utilizing innovative tools instead of classical regularization approach.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1296572
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