Real Lithuanian economic growth forecasting using artificial neural networks

Methods for forecasting of Lithuanian gross domestic product (GDP) are analyzed. Prognoses obtained by means of linear models and artificial neural networks are compared.

Bibliographic Details
Main Authors: Audronė Jakaitienė, Minija Tamošiūnaitė
Format: Article
Language:English
Published: Vilnius University Press 2003-12-01
Series:Lietuvos Matematikos Rinkinys
Online Access:https://www.journals.vu.lt/LMR/article/view/32542