Discovering explicit Reynolds-averaged turbulence closures for turbulent separated flows through deep learning-based symbolic regression with non-linear corrections
-
Updated
Feb 18, 2023 - C++
Discovering explicit Reynolds-averaged turbulence closures for turbulent separated flows through deep learning-based symbolic regression with non-linear corrections
A zero-dependency, portable, and efficient library for building, running, and training feed-forward artificial neural networks.
Add a description, image, and links to the lstm-neural-network topic page so that developers can more easily learn about it.
To associate your repository with the lstm-neural-network topic, visit your repo's landing page and select "manage topics."