Machine Learning, Cfd, Neural Networks, Data Science, Education.
Architecture and Training Data: The training data had nine input attributes: 1: density 2–3: velocity 4–6: stress 7: vorticity 8–9: density gradient The output had 3 attributes representing the residual stress tensor. It had approximately 1 million tuples. The aim of the architecture was to keep it