Physics-Regularized Neural Networks for Hydrological State Estimation
Neural Network Architecture The estimator employs a multi-layer perceptron with exponential linear unit activations and intermediate dropout for regularization when mapping atmospheric forcing variables to subsurface storage states. import torch import torch.nn.functional as F from torch import nn,...