Solving inverse problems with physics-driven neural networks
Parameter identification by physics-guided neural network
Article REF: S7221 V1
Solving inverse problems with physics-driven neural networks
Parameter identification by physics-guided neural network

Authors : Roberta TITTARELLI, Patrice LE MOAL, Morvan OUISSE, Emmanuel RAMASSO

Publication date: October 10, 2024 | Lire en français

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1. Solving inverse problems with physics-driven neural networks

Let be a dynamic physical problem governed by an equation or a system of ordinary differential equations (ODE) or partial differential equations (PDE) with boundary conditions (BC) and/or initial conditions (IC) expressed by :

F(u,c)  =  0,( 1 )

called "physical restraint", with c  :  ℝn  →  ℝ

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