In this paper ,the backscattering problem of acoustic moving obstacles in time domain with Dirichlet boundary conditions is studied. First solve the time domain wave equation ,collect dynamic acoustic near-field data for moving ob-stacles in a limited observation time ,and then establish a problem of the neural network model ,the time domain of the near field data as the input sequence ,the shape of known shape as the output sequence ,solve the backscattering problem. Finally for different movement speed ,effectively reverse the position and trajectory of moving obstacles. Numerical experiments show the effectiveness of the proposed method.
关键词
时域声波反散射问题/移动障碍物/多层前馈神经网络/近场数据
Key words
time-domain acoustic wave backscattering problem/moving obstacles/multi-layer feedforward neural network/near-field data
维普
万方数据