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Zh. M. Kadirbayeva

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2025

Collocation point strategies in physics-informed neural networks: A comparative study on the Burgers' equation

This study examines the influence of six collocation point sampling strategies—random uniform, uniform grid, Latin hypercube sampling, Sobol sequence, staggered triangular lattice, and a hybrid combined approach—on the performance of PINNs applied to the one-dimensional Burgers’ equation.

Ruslan Krasnozhonov, M. Nurtas, Zh. M. Kadirbayeva et al. · 0 citations

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