{"product_id":"it-methods-and-transition-in-economics-von-raouf-veliev","title":"IT methods and transition in economics","description":"\u003cp\u003eThe 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.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783838368177\"\u003e\u003ch3\u003eECONOMIC MODELLING OF COUNTRIES IN TRANSITION AND ARTIFICIAL INTELLIGENCE APPLICATIONS TO ECONOMIC FORECASTING\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783838368177","offer_id":39469199097949,"sku":"9783838368177","price":79.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/31d42af0-87a8-4796-80cd-96bffe2b0c5d.jpg?v=1775627663","url":"https:\/\/shop.autorenwelt.de\/products\/it-methods-and-transition-in-economics-von-raouf-veliev","provider":"Autorenwelt Shop","version":"1.0","type":"link"}