The paper presents some aspects regarding the use of pattern recognition techniques and neural networks for the activity evolution diagnostication and prediction by means of a set of indicators. Starting from the indicators set there is defined a measure on the patterns set, measure representing...

The use of agent-based modeling in economics is a step forward enabling a more realistic description of the complex interactions and behaviors occurring in the economic environment. Although it offers increased realism, especially in describing how local characteristics generate global patterns,...

This paper aims to explore the nonlinear relation between investments and GDP. The method of neural network is used to construct two nonlinear models of GDP in relation to domestic investments, foreign direct investments and real interest rate. The results show that the two neural models present...

The way the SWF activity has intensified in the last 7 years asks for a more detailed analysis of these financing-development methods. The field of financing by sovereign wealth funds is currently less explored by the scientific literature and it can underlie the current and near future...

The paper presents the yearly and monthly forecast of the Romanian transition economy performed on the basis of the “Dobrescu” macromodel.

The paper briefly presents the "Dobrescu" macromodel, the 2002 version, and the yearly and monthly (September version) forecast of the Romanian transition economy computed on its basis. * (Source: Emilian Dobrescu, Macromodels of the Romanian Transition Economy, Third edition, Expert Publishing...

The paper presents the yearly and monthly forecast of the Romanian transition economy performed on the basis of the “Dobrescu” macromodel.