Comparison of different input selection algorithms in neuro-fuzzy modeling

Author:

Alizadeh Meysam,Jolai Fariborz,Aminnayeri Majid,Rada Roy

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference30 articles.

1. Alizadeh, M., Rada, R., Ghoshe Balagh, A. K., & Roshanaei, V. (2009). Forecasting exchange rates: A neuro-fuzzy approach. In Proceedings of international fuzzy systems association world congress, Lisbon, Portugal (pp. 1745–1750).

2. Neuro-fuzzy methods for nonlinear system identification;Babuška;Annual Reviews in Control,2003

3. Knowledge discovery by a neuro-fuzzy modeling framework;Castellano;Fuzzy Sets and Systems,2005

4. Chen, M. S. (1999). A comparative study of learning methods in tuning parameters of fuzzy membership functions. In IEEE SMC’99 conference proceedings, Tokyo, Japan (pp. 40–44).

5. Adapted neuro-fuzzy inference system on indirect approach TSK fuzzy rule base for stock market analysis;Esfahanipour;Expert Systems with Applications,2010

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