@article{(Open Science Index):https://publications.waset.org/pdf/7444,
	  title     = {Application of Adaptive Neuro-Fuzzy Inference System in the Prediction of Economic Crisis Periods in USA},
	  author    = {Eleftherios Giovanis},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper discrete choice models, Logit and Probit
are examined in order to predict the economic recession or expansion
periods in USA. Additionally we propose an adaptive neuro-fuzzy
inference system with triangular membership function. We examine
the in-sample period 1947-2005 and we test the models in the out-of
sample period 2006-2009. The forecasting results indicate that the
Adaptive Neuro-fuzzy Inference System (ANFIS) model outperforms
significant the Logit and Probit models in the out-of sample period.
This indicates that neuro-fuzzy model provides a better and more
reliable signal on whether or not a financial crisis will take place.},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {4},
	  number    = {7},
	  year      = {2010},
	  pages     = {1715 - 1720},
	  ee        = {https://publications.waset.org/pdf/7444},
	  url   	= {https://publications.waset.org/vol/43},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 43, 2010},