Add to ORKGNowadays neural networks (NN) are applied in the most various fields and are actually receiving a lot of attention among the researcher's community. In this paper we will provide a review of some NN applications in Economics. We distinguish the applications according to the main objectives achieved by NN in this field: prediction, classification and modeling economic theory. It is a matter of fact that NN share with Statistics a lot of methodological and computational aspects [9] as well as many fields of application. In this field we introduce a general strategy for a statistical approach to NN which allows to use NN in a statistical context taking into account typical statistical applications problems, such as the selection and coding of ...
textabstractThe flexibility of neural networks to handle complex data patterns of economic variables...
Subject of research – theoretical, methodological and organizational principles of economic analysis...
The use of the artificial neural networks in economics and business goes back to 1950s, while the ma...
Nowadays neural networks (NN) are applied in the most various fields and are actually receiving a lo...
Neural networks are being used in areas of prediction and classification, the areas where statistica...
The complexity of economic processes is reflected in the time series which register their state. Not...
The present paper has the objective to inform the public regarding the use of new techniques for the...
Neural networks have become very important tools in many areas including economic researches. The ob...
Neural networks are increasingly being used in real-world business applications and, in some cases, ...
Machine language is a sequence of algorithm assign to do a particular task. Neural Networking is ins...
Title: Deep neural networks and their application for economic data processing Author: Bc. Tomáš Wit...
The chapters of this dissertation explore the theoretical and empirical potential of neural networks...
Mattina of Finance Canada and Alain Paquet of UQAM for their helpful comments. The views expressed i...
In recent years, neural networks have received an increasing amount of attention among macroeconomic...
Commodities and its prices play a large role in the economic policies of countries whether they are ...
textabstractThe flexibility of neural networks to handle complex data patterns of economic variables...
Subject of research – theoretical, methodological and organizational principles of economic analysis...
The use of the artificial neural networks in economics and business goes back to 1950s, while the ma...
Nowadays neural networks (NN) are applied in the most various fields and are actually receiving a lo...
Neural networks are being used in areas of prediction and classification, the areas where statistica...
The complexity of economic processes is reflected in the time series which register their state. Not...
The present paper has the objective to inform the public regarding the use of new techniques for the...
Neural networks have become very important tools in many areas including economic researches. The ob...
Neural networks are increasingly being used in real-world business applications and, in some cases, ...
Machine language is a sequence of algorithm assign to do a particular task. Neural Networking is ins...
Title: Deep neural networks and their application for economic data processing Author: Bc. Tomáš Wit...
The chapters of this dissertation explore the theoretical and empirical potential of neural networks...
Mattina of Finance Canada and Alain Paquet of UQAM for their helpful comments. The views expressed i...
In recent years, neural networks have received an increasing amount of attention among macroeconomic...
Commodities and its prices play a large role in the economic policies of countries whether they are ...
textabstractThe flexibility of neural networks to handle complex data patterns of economic variables...
Subject of research – theoretical, methodological and organizational principles of economic analysis...
The use of the artificial neural networks in economics and business goes back to 1950s, while the ma...