Add to ORKGThe following work seeks to evaluate traditional methodologies of time series forecasting compared to the newest artificial intelligence algorithms. Economic and financial time series are used in order to evaluate the efectiveness of these procedures so that this has an economic and practical significance.El siguiente trabajo busca evaluar las metodologías tradicionales de predicción de series de tiempo en comparación con los algoritmos de inteligencia artificial más nuevos. Se utilizan series de tiempo económicas y financieras. con el fin de evaluar la efectividad de estos procedimientos para que esto tenga un significado económico y práctico.El següent treball busca avaluar les metodologies tradicionals de predicció de sèries de temps en...
Este trabalho apresenta um método de predição não linear de séries temporais econômicas. O método ba...
In this present work, we provide an overview of methods for time series modelling and prediction. We...
In the last few decades an increasing focus as been put over the field of Time Series Forecasting (T...
Four techniques for time series forecasting are analyzed and combined in an artificial intelligence ...
Objectives The main objective of this study was to analyze and evaluate the effectiveness of artif...
The main objective of this research paper is to highlight the global implications arising in financi...
Tesis Univ. Granada. Departamento de Ciencias de la Computación e Inteligencia ArtificialThis work w...
This paper contains a financial forecast using Artificial Neural Networks. The analysis used the tra...
Time series processes are important in several sectors like marketing, transport, energy, telecommun...
In recent years the interest of the investors in efficient methods for the forecasting price trend o...
This thesis investigates the application of artificial neural networks (ANNs) for forecasting financ...
This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a p...
Forecasting is one of the important tools in business environment because it assists in decision-mak...
Submitted to the School of Computing and Informatics (SCI) of The University of Nairobi in partial...
In recent years the interest of the investors in e±cient methods for the forecasting price trend of ...
Este trabalho apresenta um método de predição não linear de séries temporais econômicas. O método ba...
In this present work, we provide an overview of methods for time series modelling and prediction. We...
In the last few decades an increasing focus as been put over the field of Time Series Forecasting (T...
Four techniques for time series forecasting are analyzed and combined in an artificial intelligence ...
Objectives The main objective of this study was to analyze and evaluate the effectiveness of artif...
The main objective of this research paper is to highlight the global implications arising in financi...
Tesis Univ. Granada. Departamento de Ciencias de la Computación e Inteligencia ArtificialThis work w...
This paper contains a financial forecast using Artificial Neural Networks. The analysis used the tra...
Time series processes are important in several sectors like marketing, transport, energy, telecommun...
In recent years the interest of the investors in efficient methods for the forecasting price trend o...
This thesis investigates the application of artificial neural networks (ANNs) for forecasting financ...
This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a p...
Forecasting is one of the important tools in business environment because it assists in decision-mak...
Submitted to the School of Computing and Informatics (SCI) of The University of Nairobi in partial...
In recent years the interest of the investors in e±cient methods for the forecasting price trend of ...
Este trabalho apresenta um método de predição não linear de séries temporais econômicas. O método ba...
In this present work, we provide an overview of methods for time series modelling and prediction. We...
In the last few decades an increasing focus as been put over the field of Time Series Forecasting (T...