A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics. (arXiv:2201.03549v1 [physics.chem-ph])

Machine learning has long been considered as a black box for predicting
combustion chemical kinetics due to the extremely large number of parameters
and the lack of evaluation standards and reproducibility. The current work aims
to understand two basic questions regarding the deep neural network (DNN)
method: what data the DNN needs and how general the DNN method can be. Sampling
and preprocessing determine the DNN training dataset, further affect DNN
prediction ability. The current work proposes using Box-Cox transformation …

arxiv deep neural network network neural network physics