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Sonam Tobgay

Sonam Tobgay

Prompt

conflict negotiation diagram
conflict negotiation diagram [more]
Model: OpenArt Creative
Width: 640Height: 640
Scale: 7Steps: 25
Sampler: Seed: 479260622

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PANNs integrate physical laws directly into the neural network's structure or loss function. This ensures that the network's predictions adhere to known physical principles, such as conservation of energy, momentum, and other invariants.
Reduced Data Requirements:

By embedding physical constraints, PANNs often require less training data compared to traditional ANNs. This is particularly beneficial in fields where collecting large datasets is challenging or expensive.
Improved Generalization:

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Enhanced Interpretability:

The incorporation of physics can make the network's decisions more interpretable, as the predictions are grounded in well-understood physical phenomena.
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