The computation of the field diffracted from an impedance wedge is of relevant importance in the solution of high-frequency radiation and scattering problems. Few analytically exact or approximate diffraction coefficients for impedance wedge scattering have been presented in the literature. They are relevant to specific electrical and geometrical wedge configurations, and some exact solutions are computationally intensive to compute. An artificial neural network (ANN) performing such a computation is presented, with the objective of improving the numerical efficiency of the field evaluation procedure and to obtain a single tool spanning all the different domains of the known analytical solutions.

Artificial Neural Networks for Wedge Diffraction Coefficients

MANARA, GIULIANO;NEPA, PAOLO;
2005

Abstract

The computation of the field diffracted from an impedance wedge is of relevant importance in the solution of high-frequency radiation and scattering problems. Few analytically exact or approximate diffraction coefficients for impedance wedge scattering have been presented in the literature. They are relevant to specific electrical and geometrical wedge configurations, and some exact solutions are computationally intensive to compute. An artificial neural network (ANN) performing such a computation is presented, with the objective of improving the numerical efficiency of the field evaluation procedure and to obtain a single tool spanning all the different domains of the known analytical solutions.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11568/190640
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