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提出一种采用 Hopfield神经网络重建材料声阻抗的新方法 ,对层状材料仿真和实际应用表明 ,该方法克服了传统方法的缺点 ,具有较高分辨率和计算效率
A new method to reconstruct the acoustic impedance of materials using Hopfield neural network is proposed. The simulation and practical application of layered materials show that this method overcomes the shortcomings of the traditional methods and has high resolution and computational efficiency