A MESH-LESS, RAY-BASED DEEP NEURAL NETWORK METHOD FOR THE HELMHOLTZ EQUATION WITH HIGH FREQUENCY

INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING(2022)

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摘要
This article introduces a mesh-less, ray-based deep neural network method to solve the Helmholtz equation with high frequency. This method does not use an adaptive mesh refinement method, nor does it design a numerical scheme using some specially designed basis function to calculate the numerical solution, but it has the advantages of easy implementation and no mesh. We have carried out various numerical examples to prove the accuracy and efficiency of the proposed numerical method.
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关键词
Deep learning, plane wave, deep Neural Network, loss, high frequency, Helmholtz equation
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