@article{(Open Science Index):https://publications.waset.org/pdf/13229,
	  title     = {Application of Adaptive Network-Based Fuzzy Inference System in Macroeconomic Variables Forecasting},
	  author    = {Ε. Giovanis},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper we apply an Adaptive Network-Based
Fuzzy Inference System (ANFIS) with one input, the dependent
variable with one lag, for the forecasting of four macroeconomic
variables of US economy, the Gross Domestic Product, the inflation
rate, six monthly treasury bills interest rates and unemployment rate.
We compare the forecasting performance of ANFIS with those of the
widely used linear autoregressive and nonlinear smoothing transition
autoregressive (STAR) models. The results are greatly in favour of
ANFIS indicating that is an effective tool for macroeconomic
forecasting used in academic research and in research and application
by the governmental and other institutions},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {4},
	  number    = {4},
	  year      = {2010},
	  pages     = {437 - 444},
	  ee        = {https://publications.waset.org/pdf/13229},
	  url   	= {https://publications.waset.org/vol/40},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 40, 2010},
	}