This paper shows how the forecast affects reducing the number of variables with which the prediction is made, for this the factor analysis was applied. The variables were grouped into three factors. The following classification methods were used: discriminant analysis, logistic regression and neural networks. We worked with three groups of data, the first includes the original variables, the second the variables belonging to factors one, two and three and the third is composed only of those of factor one. Confusion matrices and ROC curves were used to determine the accuracy of the forecast models. The results obtained for each group are shown, where it is appreciated that the reduction of variables is very convenient to reach excellent pred...
Objective: The aim of this paper is to analyze the development of new forecasting models based on ne...
This paper analyzes the capacity of the neural networks to forecast the sign of weekly variations of...
En esta tesis se estudia el pronóstico de la volatilidad condicional de series de tiempo financieras...
This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: ...
Actualmente es comú n que las empresas realicen pronósticos de ventas para poder planificar más acer...
This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: ...
This thesis addresses the problem of variable selection using the random forest method when the unde...
La precisión en la predicción de las ventas es vital en cualquier tipo de industria ya que puede mej...
Cada vez más empresas necesitan buenas determinaciones futuras de su demanda. Muchas empresas dispon...
Normal 0 21 false false false PT-BR X-NONE X-NONE MicrosoftInternetExplorer4 ...
This study offers a description and comparison of the main models of Artificial Neural Networks (ANN...
RESUMEN: Éste documento discute algunos métodos para obtener pronósticos mejorados a partir de la co...
The objective of the present work is to realize predictions of the typeof change peso-dollar being u...
This research presents a new product forecasting methodology that combines the forecast of analogous...
Forecasting prices is a very important aim not only to takes decision in a productive ...
Objective: The aim of this paper is to analyze the development of new forecasting models based on ne...
This paper analyzes the capacity of the neural networks to forecast the sign of weekly variations of...
En esta tesis se estudia el pronóstico de la volatilidad condicional de series de tiempo financieras...
This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: ...
Actualmente es comú n que las empresas realicen pronósticos de ventas para poder planificar más acer...
This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: ...
This thesis addresses the problem of variable selection using the random forest method when the unde...
La precisión en la predicción de las ventas es vital en cualquier tipo de industria ya que puede mej...
Cada vez más empresas necesitan buenas determinaciones futuras de su demanda. Muchas empresas dispon...
Normal 0 21 false false false PT-BR X-NONE X-NONE MicrosoftInternetExplorer4 ...
This study offers a description and comparison of the main models of Artificial Neural Networks (ANN...
RESUMEN: Éste documento discute algunos métodos para obtener pronósticos mejorados a partir de la co...
The objective of the present work is to realize predictions of the typeof change peso-dollar being u...
This research presents a new product forecasting methodology that combines the forecast of analogous...
Forecasting prices is a very important aim not only to takes decision in a productive ...
Objective: The aim of this paper is to analyze the development of new forecasting models based on ne...
This paper analyzes the capacity of the neural networks to forecast the sign of weekly variations of...
En esta tesis se estudia el pronóstico de la volatilidad condicional de series de tiempo financieras...