Integrating physics-informed neural networks with Bayesian inference for nonlinear filtering

Communications in Nonlinear Science and Numerical Simulation 2026

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Authors: Sherkhon Azimov, Sangil Kim
DOI: 10.1016/j.cnsns.2026.109837
Cited by: 1
References: 19

Fields of Study & Subjects

Model Reduction and Neural Networks Gaussian Processes and Bayesian Inference Target Tracking and Data Fusion in Sensor Networks

Publication details

Journal / source
Communications in Nonlinear Science and Numerical Simulation
Publisher
Elsevier BV
Volume
159
Pages
109837–109837
Publication date
18 February 2026
Language
EN