From: A deep learning framework for predicting cyber attacks rates
W _{ x} | Weight matrix connecting the input layer and the hidden layer |
W _{ h} | Weight matrix connecting two consecutive hidden states |
W _{ y} | Weight matrix connecting the hidden state and the output layer |
b _{ h} | Bias vector in hidden layer |
b _{ y} | Bias vector in output layer |
h _{ t} | Hidden state at time t |
σ(·) | Activation function |
x _{ t} | Input at time t |
y _{ t} | Real output at time t |
\(\hat {y}_{t}\) | Predicted output at time t |
J | Objective function |