SIMULATION WITH ARTIFICIAL INTELLIGENCE TO FORECAST GDP DEPENDING ON LOGISTICS ELEMENTS

Margareta Ilie, Norina Popovici and Constantin Ilie

Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, 2015, vol. 9, issue 1, 1054-1061

Abstract: The present paper as the main goal to establish a relatively new method to forecast gross domestic product depending on logistics elements using the artificial neural network simulation of the influence between the two types of data. In their research the authors determined the most appropriate form of neural network algorithm necessary for neural network training and they also analyzed the results obtained after training over the results of simulations. Also the authors intended to lay the foundations of using a non-linear methods that respond to the problems caused by rapid changes in the economic environment. The research result was the building a feedforward type of artificial neural network with a 4-5-1 structure. The training has been tested and evaluated, yielding values of errors comparison between actual and simulated data by the neural network less than 0.5%. The importance lies in the research results proving the efficiency of the method used in simulating the influence of elements of logistic activities over GDP values.

Keywords: neural network; GDP; simulation. (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://conference.management.ase.ro/archives/2015/pdf/112.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rom:mancon:v:9:y:2015:i:1:p:1054-1061

Access Statistics for this article

Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE is currently edited by Ciocoiu Nadia Carmen

More articles in Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE from Faculty of Management, Academy of Economic Studies, Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Ciocoiu Nadia Carmen ().