Now showing items 1-5 of 5
Stock closing price forecasting using ensembles of constructive neural networks
Efficient automatic systems which continuously learn over long periods of time, and manage to evolve its knowledge, by discarding obsolete parts of it and acquiring new ones to reflect recent data, are difficult to be ...
Strategic interactions against non-stationary agents
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2015)
Granular Models For Time-series Forecasting
(John Wiley & Sons, Ltd, 2008)