Standard methods for computing prediction intervals in nonlinear regression can be effectively applied to neural networks when the number of training points is large. Simulations show, however, that ...

To make a prediction for January 1961, the first time step beyond the training data, you'd simply pass (5.08, 4.61, 3.90, 4.32) to method computeOutputs in the trained network. If you wanted to, you ...