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What is Improved PINN for Seepage Prediction about?

This research article presents an improved physics-informed neural network (PINN) algorithm designed for predicting the phreatic line of seepage, particularly under complex boundary conditions like Neumann boundaries. The proposed method enhances prediction accuracy by incorporating a small amount of measured data into the loss function and dynamically adjusting loss weighting coefficients. Results demonstrate that the improved PINN algorithm shows better convergence and effectiveness in geotechnical engine

Author

sidhnt45

Language

EN