DBPapers

FORECASTING THE RAINFALL DATA BY ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

AUTHOR/S: A. YARAR, M. ONUCYILDIZ, M. F. SEVIMLI
Sunday 1 August 2010 by Libadmin2009

9th International Multidisciplinary Scientific GeoConference - SGEM2009, www.sgem.org, SGEM2009 Conference Proceedings/ ISBN 10: 954-91818-1-2, June 14-19, 2009, Vol. 2, 191-198 pp

ABSTRACT

Konya is the biggest city of Turkey in terms of area and agricultural land, on the other
hand sixth biggest city in terms of population. Because of the decrease of rainfall and
increase in temperature, the agricultural production and daily water consumption are
effected negatively in last years.

Rainfall, one of the basic parameters of the hydrological cycle, has a big importance to
determine the water budgets and to improve the water supply policy. In this study,
monthly total rainfall data belong to Konya between 1970-2002 years, have been
studied to forecast by Adaptive Neuro-Fuzzy Inference System (ANFIS). And model’s
performance has been evaluated by comparison with the Lineer Regression (LR) as one
of the traditional methods.

Keywords: ANFIS, Regression, Rainfall Forecasting