We focus in this report on using various types of neural networks (NN) including NN's into which physics information is encoded (PeNN's) and also studied effects of NN's hyperparameters. We apply the networks to predict the viscosity of an emulsion as a function of shear rate. We show ...
Spatio-Temporal Coherence Resonance and Firing Synchronization in a Neural Network:. Noise and Coupling Effects Effects of noise and coupling on the dynamics of a square lattice neuronal network are studied in this paper. Patterns and collective phenomena such as fir... Y Zheng,Q Lu,Q Wang - ...