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Comparison Influences Of Various Economic Indicators Due To Different Methods Of Modeling And Simulation


  • Constantin ILIE
  • Margareta ILIE
  • Norina POPOVICI


The present paper shows the results of research that aims to compare simulation results influences of gross domestic product and logistic elements made using artificial neural networks and the results of a simple graphical modeling of the same influences. Artificial neural network simulation results are part of a previous paper of the same authors, while the graphical modelling makes the subject of the present work. The modeling is done by determining graphs based on getting approximate influence functions between the following indicators: transportation and storage, trade balance, international trade in services, annual percentage change in total employed population over the gross domestic product. Data contained values recorded in the Netherlands during 2004-2014 period. While in the case of simulation with artificial neural networks have determined that the international trade in services have influences the gross domestic product with a ratio equal to the sum of all other indices, graphical modeling led to other models of influence or evolution of indices values. The authors believe in the need of the use of the new simulation and modeling models and new influences functions between various economic indicators

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  • Constantin ILIE & Margareta ILIE & Norina POPOVICI, 2015. "Comparison Influences Of Various Economic Indicators Due To Different Methods Of Modeling And Simulation," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 9(1), pages 1034-1041, November.
  • Handle: RePEc:rom:mancon:v:9:y:2015:i:1:p:1034-1041

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    modelling; GDP; mathematical function; graphic.;


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