Research Paper | Economics | India | Volume 7 Issue 7, July 2018
A Comprehensive Study of Macroeconomic Forecasting Models based on Neural Network
Aashi Agarwal, Shalini Gupta
Abstract: Economic policies are made after forecasting economic conditions. Currently, we are using linear models that demand large amounts of data and are prone to model dependence. In this paper, we have compared and contrasted four different neural networks to overcome these shortcomings and forecast civilian unemployment accurately.
Keywords: Unemployment, neural networks, encoder decoder
Edition: Volume 7 Issue 7, July 2018,
Pages: 1184 - 1188
How to Cite this Article?
Aashi Agarwal, Shalini Gupta, "A Comprehensive Study of Macroeconomic Forecasting Models based on Neural Network", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=ART2019213, Volume 7 Issue 7, July 2018, 1184 - 1188
How to Share this Article?
Similar Articles with Keyword 'Unemployment'
Problems, Constraints and Strategies of Economic Upliftment of Tribals in Jharkhand (India)
Synchronization of Inflation and Unemployment and Poverty Increase in the Iraqi Economy for (1994-2010)
Hind Ghanim Mohammed Al-Mohanna, Dr. Hanan Abdul-Khidher, Fatin Aeyed Jassim