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IT methods and transition in economics: ECONOMIC MODELLING OF COUNTRIES IN TRANSITION AND ARTIFICIAL INTELLIGENCE APPLICATIONS TO ECONOMIC FORECASTING - Couverture souple
Synopsis
The purpose of this study is to develop two approaches in economic modelling based on the features of the available economic data. The first approach considers economic environments with data of low quality and short time series. This is usual for countries in transition. The presented model not only uses mainstream macroeconomic theories, but also focuses on the particularities of the economy of Azerbaijan, which is the case study in this work. The simulations of the model are consistent with the recent facts of economic development in Azerbaijan. The second part of the book, considers economic environment with qualitative, consistent and highly descriptive data. We propose to take advantage of this fact and develop methods, which are based on artificial intelligence concepts. These methods are largely free of theoretical assumptions and objectively use internal knowledge of data. They incluide a system based on the association rules, a genetic algorithm-fuzzy logic system, a fuzzy-neural architecture and, finally, a hybrid system. Implementations of these methods produce better results than traditional statistical methods and neural networks do alone.
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Présentation de l'éditeur
The purpose of this study is to develop two approaches in economic modelling based on the features of the available economic data. The first approach considers economic environments with data of low quality and short time series. This is usual for countries in transition. The presented model not only uses mainstream macroeconomic theories, but also focuses on the particularities of the economy of Azerbaijan, which is the case study in this work. The simulations of the model are consistent with the recent facts of economic development in Azerbaijan. The second part of the book, considers economic environment with qualitative, consistent and highly descriptive data. We propose to take advantage of this fact and develop methods, which are based on artificial intelligence concepts. These methods are largely free of theoretical assumptions and objectively use internal knowledge of data. They incluide a system based on the association rules, a genetic algorithm-fuzzy logic system, a fuzzy-neural architecture and, finally, a hybrid system. Implementations of these methods produce better results than traditional statistical methods and neural networks do alone.
Biographie de l'auteur
Raouf Veliev was born in Baku, Azerbaijan. Graduated from Baku State University, later did his PhD studies in Australia. Inspired by economic problems of young post-USSR countries and boom of IT sciences, he devoted his work to merge classic economic approaches with these new challenges of the changing world...
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IT methods and transition in economics
Edité par
LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 3838368177
ISBN 13 : 9783838368177
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Veliev RaoufRaouf Veliev was born in Baku, Azerbaijan. Graduated from Baku State University, later did his PhD studies in Australia. Inspired by economic problems of young post-USSR countries and boom of IT sciences, he devoted hi. N° de réf. du vendeur 5417137
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IT methods and transition in economics : ECONOMIC MODELLING OF COUNTRIES IN TRANSITION AND ARTIFICIAL INTELLIGENCE APPLICATIONS TO ECONOMIC FORECASTING
Edité par
LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 3838368177
ISBN 13 : 9783838368177
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The purpose of this study is to develop two approaches in economic modelling based on the features of the available economic data. The first approach considers economic environments with data of low quality and short time series. This is usual for countries in transition. The presented model not only uses mainstream macroeconomic theories, but also focuses on the particularities of the economy of Azerbaijan, which is the case study in this work. The simulations of the model are consistent with the recent facts of economic development in Azerbaijan. The second part of the book, considers economic environment with qualitative, consistent and highly descriptive data. We propose to take advantage of this fact and develop methods, which are based on artificial intelligence concepts. These methods are largely free of theoretical assumptions and objectively use internal knowledge of data. They incluide a system based on the association rules, a genetic algorithm-fuzzy logic system, a fuzzy-neural architecture and, finally, a hybrid system. Implementations of these methods produce better results than traditional statistical methods and neural networks do alone. N° de réf. du vendeur 9783838368177
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IT methods and transition in economics
Edité par
LAP LAMBERT Academic Publishing Sep 2010, 2010
ISBN 10 : 3838368177
ISBN 13 : 9783838368177
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The purpose of this study is to develop two approaches in economic modelling based on the features of the available economic data. The first approach considers economic environments with data of low quality and short time series. This is usual for countries in transition. The presented model not only uses mainstream macroeconomic theories, but also focuses on the particularities of the economy of Azerbaijan, which is the case study in this work. The simulations of the model are consistent with the recent facts of economic development in Azerbaijan. The second part of the book, considers economic environment with qualitative, consistent and highly descriptive data. We propose to take advantage of this fact and develop methods, which are based on artificial intelligence concepts. These methods are largely free of theoretical assumptions and objectively use internal knowledge of data. They incluide a system based on the association rules, a genetic algorithm-fuzzy logic system, a fuzzy-neural architecture and, finally, a hybrid system. Implementations of these methods produce better results than traditional statistical methods and neural networks do alone. 280 pp. Englisch. N° de réf. du vendeur 9783838368177
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
IT methods and transition in economics
Edité par
LAP LAMBERT Academic Publishing Sep 2010, 2010
ISBN 10 : 3838368177
ISBN 13 : 9783838368177
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -The purpose of this study is to develop two approaches in economic modelling based on the features of the available economic data. The first approach considers economic environments with data of low quality and short time series. This is usual for countries in transition. The presented model not only uses mainstream macroeconomic theories, but also focuses on the particularities of the economy of Azerbaijan, which is the case study in this work. The simulations of the model are consistent with the recent facts of economic development in Azerbaijan. The second part of the book, considers economic environment with qualitative, consistent and highly descriptive data. We propose to take advantage of this fact and develop methods, which are based on artificial intelligence concepts. These methods are largely free of theoretical assumptions and objectively use internal knowledge of data. They incluide a system based on the association rules, a genetic algorithm-fuzzy logic system, a fuzzy-neural architecture and, finally, a hybrid system. Implementations of these methods produce better results than traditional statistical methods and neural networks do alone.Books on Demand GmbH, Überseering 33, 22297 Hamburg 280 pp. Englisch. N° de réf. du vendeur 9783838368177
Quantité disponible : 2 disponible(s)