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What is Physics-Guided Neural Networks PGNN An Application about?

This paper introduces a novel framework called physics-guided neural networks (PGNN) that uses scientific knowledge from physics-based models to guide the construction and learning of neural networks. The goal is to ensure the neural networks learn physically consistent relationships from data and generalize better. The paper demonstrates PGNN on the problem of lake temperature modeling, where physical relationships between temperature, density and depth are used.

Author

BrahimABD

Language

EN