@article{(Open Science Index):https://publications.waset.org/pdf/14860,
	  title     = {Application of Adaptive Neuro-Fuzzy Inference System in Smoothing Transition Autoregressive Models},
	  author    = {Ε. Giovanis},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper we propose and examine an Adaptive
Neuro-Fuzzy Inference System (ANFIS) in Smoothing Transition
Autoregressive (STAR) modeling. Because STAR models follow
fuzzy logic approach, in the non-linear part fuzzy rules can be
incorporated or other training or computational methods can be
applied as the error backpropagation algorithm instead to nonlinear
squares. Furthermore, additional fuzzy membership functions can be
examined, beside the logistic and exponential, like the triangle,
Gaussian and Generalized Bell functions among others. We examine
two macroeconomic variables of US economy, the inflation rate and
the 6-monthly treasury bills interest rates.},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {4},
	  number    = {4},
	  year      = {2010},
	  pages     = {445 - 452},
	  ee        = {https://publications.waset.org/pdf/14860},
	  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},
	}