Practical Time-Series Analysis

Recurrent neural networks

So far, we have used an MLP to develop a time series forecasting model. To predict the series at time [x_t-1, ... , x_t-p] we fed an input vector of past time steps to an MLP. The past time steps are fed to the MLP as uncorrelated independent variables. One problem with this kind of model is that it does not implicitly ...