Neural networks are well suited to predict future results of time series for various data types. This paper proposes a hybrid neural network model to describe the results of the database of the New York Stock Exchange (NYSE). This hybrid model brings together a self organizing map (SOM) with a...

Neural networks are well suited to predict future results of time series for various data types. This paper proposes a hybrid neural network model to describe the results of the database of the New York Stock Exchange (NYSE). This hybrid model brings together a self organizing map (SOM) with a...

En este artículo voy a traer algunos temas básicos en torno al Algoritmo de Expectativas Parametrizadas (PEA). Como sabe este modelo es aplicado en macroeconomía y por las personas que hacen reglas de política, quienes lo usan en la forma en que podrían resolver los modelos dinámicos...

The combination of hydroelectric and photovoltaic sources of energy in a generation system may seem unfeasible due to the still quite high costs of the photovoltaic plants. However in the next few decades, significant reductions in those costs are to be expected. Moreover, this combination may...