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Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE
1D FitzHugh–Nagumo model (a = -0.005, b=0.1)
SL Chapter 9 Part2 (The backpropagation algorithm for neural network parameter estimation)
Estimation of Machine Parameters in Exponential Serial Lines using Feedforward Neural Networks
Amanda Lenzi: "Can Neural Networks be used for Parameter Estimation?"
Irene Tubikanec - Splitting methods for the stochastic FitzHugh-Nagumo model
83 RNN on a Sine Wave Creating the Model
MAT 200C
Non-contact force estimation using a recurrent neural network
FitzHugh-Nagumo 2D model browse and simulation on insilicoIDE
Deep Learning with Uncertainties for the phase onset time prediction
A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi
