Download PDFOpen PDF in browserArtificial Neural Networks: Integral Equations: Physics Informed Neural NetworksEasyChair Preprint 113815 pages•Date: November 24, 2023AbstractIn this research paper, a novel model of artificial neuron ( in the spirit of spiking neuron ) is summarized. It is discussed, how integral equations naturally arise in associative memory based on such a model of artificial neuron. This research paper mainly proposes, the utilization of Physics Informed Neural Networks ( PINNs ) for solving integral equations. We expect to utilize PINNs for data driven discovery of integral equations. It is expected that this research paper will lead to new research on solving non-linear integro-differential equations Keyphrases: Artificial Neural Networks, Physics-informed neural networks, dynamic synapse, integral equations, linear filter
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