... generation and sampling. Subsequently, a novel transformation technique for sampled training data is designed to regularize the neural network parameters, leading to a stable training process. Finally, the NODE network is iteratively trained to learn the accurate neural network representation of chemical...

... [21] Blasco , J. A. , Fueyo , N. , Dopazo , C. , and Ballester , J. , 1998 , “ Modelling the Temporal Evolution of a Reduced Combustion Chemical System With an Artificial Neural Network ,” Combust. Flame , 113 ( 1–2 ), pp. 38 – 52 . 10.1016/S0010-2180(97)00211-3 [22...