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Table 1 Summary of notations

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