Fast Deep Stacked Networks based on Extreme Learning Machine applied to regression problems.

Deep learning techniques are commonly used to process large amounts of data, and good results are obtained in many applications. Those methods, however, can lead to long training times. An alternative to simultaneously tune all parameters of a large network is to stack smaller modules, improving the model efficiency.