Exploring Physics-Informed Neural Networks for the Generalized Nonlinear Sine-Gordon Equation

Figure 1

Illustration of a fully connected deep feedforward neural network with two nodes, , in the input layer and one node, , in the output layer. Layer 0 is the input layer, the layers & are the hidden layers with associated weight matrix functions & bias vectors & , and the layer is the output layer. Input data passes through the network by following (8).