Physics-guided convolutional neural network (PhyCNN) for data-driven seismic response modeling

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations

Computing, Computer Science, Artificial Intelligence +12

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 16.9K citations · Full text

Natural Sciences, Computer Science, Physics +16

Rectified Linear Units Improve Restricted Boltzmann Machines

Vinod Nair, Geoffrey E. Hinton · International Conference on Machine Learning · 2010 · 13.2K citations

Computing, Computer Science, Computer Vision +16

Approximation capabilities of multilayer feedforward networks

Kurt Hornik · Neural Networks · 1991 · 6.1K citations

Computing, Computer Science, Computer Networks +11

Proceedings of the 16th World Conference in Earthquake Engineering

Fernando Gómez-Martínez, Gerardo Mario Verderame, Flavia De Luca et al. · 2017 · 3.5K citations

Engineering, Civil Engineering, Geological Engineering +14