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      Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations

      , , , , ,
      Neurocomputing
      Elsevier BV

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          Extreme learning machine: Theory and applications

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            Physics-Informed Neural Networks: A Deep Learning Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations

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              Approximation by superpositions of a sigmoidal function

              G. Cybenko (1989)
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                Author and article information

                Journal
                Neurocomputing
                Neurocomputing
                Elsevier BV
                09252312
                October 2021
                October 2021
                : 457
                : 334-356
                Article
                10.1016/j.neucom.2021.06.015
                bb477b4f-52ad-40a4-84f2-28fe66565e49
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

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