Fs‐Pinns: Fractional Spectrally Adapted Physics‐Informed Neural Networks for Fractional Partial Differential Equations
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DOI: 10.1002/mma.11149
Abstract: In this paper, we present a new and efficient fractional spectrally adapted physics‐informed neural network (fs‐PINN) method for solving fractional partial differential equations (PDEs). The fs‐PINN approach overcomes the computational difficulties encountered by traditional methods… read more here.
Keywords: physics informed; fractional spectrally; informed neural; spectrally adapted ... See more keywords