DeepBHCP: deep neural network algorithm for solving backward heat conduction problems

DOI10.1016/j.cpc.2021.108236OpenAlexW3215004689MaRDI QIDQ6102002

Reza Mokhtari, F. Mostajeran

Publication date: 20 June 2023

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cpc.2021.108236

zbMATH Keywords

inverse problemsill-posed problemsthermal conductivitydeep neural networksbackward heat conduction problems

Mathematics Subject Classification ID

Numerical analysis (65-XX) Classical thermodynamics, heat transfer (80-XX)

Related Items (6)

Radial basis function neural network (RBFNN) approximation of Cauchy inverse problems of the Laplace equation ⋮ DNN-HDG: a deep learning hybridized discontinuous Galerkin method for solving some elliptic problems ⋮ Automatic boundary fitting framework of boundary dependent physics-informed neural network solving partial differential equation with complex boundary conditions ⋮ A novel growing wavelet neural network algorithm for solving chemotaxis systems with blow‐up ⋮ A new numerical approach method to solve the Lotka-Volterra predator-prey models with discrete delays ⋮ Fast parallel-in-time quasi-boundary value methods for backward heat conduction problems

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