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A Mesh-less Method Based on Artificial Neural Network for Solving Poisson Equation

机译:一种基于人工神经网络的基于人工神经网络来解决泊松方程的网眼方法

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摘要

A new mesh-less method based on artificial neural network is presented for solving Poisson equation. Artificial neural network functions are used as trial functions instead of traditional superposition of basis functions. The least square method is adopted to construct the error function according to the electromagnetic problems. Minimization of the error function is implemented by adjusting the neural network parameters using gradient descent method. The new algorithm avoids the storage and solution of massive matrix equations.
机译:提出了一种基于人工神经网络的新网格方法,用于求解泊松方程。人工神经网络功能用作试验功能而不是传统的基础函数叠加。采用最小二乘法根据电磁问题构建误差功能。通过使用梯度下降方法调整神经网络参数来实现误差函数的最小化。新算法避免了大规模矩阵方程的存储和解。

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