2023-12-12
Solving Electromagnetic Wave Scattering Using Artificial Neural Networks
By
Progress In Electromagnetics Research M, Vol. 122, 31-39, 2023
Abstract
Electromagnetic wave scattering (EMWS) is one of the complexities in electromagnetism. Traditionally, three numerical methods are used to solve this problem which are finite element method, finite difference method, and method of moments. Recently, artificial neural networks (ANNs) have gained popularity as tools to solve different problems in a wide variety of disciplines, including electromagnetism. This paper shows that the second ordinary differential equation that represents EMWS from one-dimensional, two-dimensional, and three-dimensional inhomogeneous mediums and deals with complex numbers can be solved using ANN. This is done by reducing the error between the trail solution at the output of the ANN and the second ordinary differential equation that represents the scattered field. The results from solving classical examples using the suggested approach are accurate.
Citation
Mohammad Ahmad, "Solving Electromagnetic Wave Scattering Using Artificial Neural Networks," Progress In Electromagnetics Research M, Vol. 122, 31-39, 2023.
doi:10.2528/PIERM23102603
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