Department of Economics

AUTHOR

Skiadas Christos

https://9b9ec758578b3ee0d46b-305404f9eb35eaf4130aa2d106c6a91c.ssl.cf3.rackcdn.com/597/market/publications/730/images//p1b76709mb155k2fa1t6q1r5e1oo44.jpg

Econometrics , Data Analytics - 2008

Forecasting Mortality Rate Using a Neural Network with Fuzzy Inference System

Various methods have been developed to improve mortality forecasts. The authors proposed a neuro-fuzzy model to forecast the mortality. The forecasting of mortality is curried out by an ANFIS model which uses a first order Sugeno-type FIS.

https://9b9ec758578b3ee0d46b-305404f9eb35eaf4130aa2d106c6a91c.ssl.cf3.rackcdn.com/597/market/publications/747/images//p1b7691vir1tr71ldq1qiu15d1tsu4.jpg

Econometrics , Data Analytics - 2008

Forecasting Unemployment Rate Using a Neural Network with Fuzzy Inference System

The paper presents a new technique in the field of unemployment modeling in order to forecast unemployment index. Techniques from the Artificial Neural Networks and from fuzzy logic have been combined to generate a neuro-fuzzy model.

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