Article thumbnail

Neuro-Fuzzy approach for the predictions of economic crisis

By Eleftherios Giovanis


In this paper we present the neuro-fuzzy technology for the prediction of economic crisis of USA economy. Our findings support ANFIS models to traditional discrete choice models of Probit and Logit, indicating that the last models are not very useful for forecasting purposes. We have developed a MATLAB routine to show how ANFIS procedure works and it is provided for replications, further research applications and experiments, for modifications, expansions and improvements. We propose the use of both models, because with discrete choice models we can examine and investigate the effects of the inputs or the independent variables, while we can simultaneously use ANFIS for forecasting purposes. The wise option and the most appropriate scientific action is to combine both models and not taking only one of them.Economic crisis; ANFIS; Neuro-Fuzzy, fuzzy rules; triangle function; Gaussian function; Generalized Bell function forecasting; discrete choice models; Logit; Probit; economy of USA; MATLAB

OAI identifier:

Suggested articles


  1. (1920). On the reciprocal of the general algebraic matrix.
  2. (1993). Recognizing financial distress patterns using a neural network tool,
  3. (1998). The Determinants of Banking Crises in Developing and Developed Countries.

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.