The cell-average based neural network for numerical approximation of the nonlinear Schrödinger equation
Dielan Hu,
Changxin Qiu,
Bo Yang
et al.
Abstract:Given the advantages of machine learning method with accuracy and high efficiency, when compared with classical numerical methods, the cell-average based neural network (CANN) method is proposed to opens up a new field for solving and simulating solutions of nonlinear Schrödinger equations numerically. Inspired by the finite volume method for solving fluid flow problems, the CANN method seeks to explore shallow and fast neural network solvers to approximate the solution average difference between two consecuti… Show more
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