The neural network has (4 * 12) + (12 * 1) = 60 node-to-node weights and (12 + 1) = 13 biases which essentially define the neural network model. Using the rolling window data, the demo program trains ...

The demo creates a neural network with 3 input nodes, 4 hidden nodes, and 2 output nodes. The 3-4-2 network has 26 weights and biases which are initialized to dummy values of 0.01 through 0.26. Input ...