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Title

RESULTS COMPARISON OF MAMDANI FUZZY INTERFACE SYSTEM AND ARTIFICIAL NEURAL NETWORKS IN THE SEASONAL RAINFALL PREDICTION, CASE STUDY: KHORASAN REGION

Pages

 Start Page 22 | End Page 24

Abstract

 Introduction: Fuzzy logic and ANN were previously used in RAINFALL PREDICTION. Halid and Ridd (2002) had used Fuzzy logic technique to make a model for forecasting local precipitation in June in Hazanodin airport region, the biggest rice production area in Indonesia. Maria et al. (2005) had used Neural NETWORKs and regression models to predict the amount of rainfall in Sao Paolo regions in Brazil. Cavazos (2000) had used Neural NETWORKs for forecasting daily precipitation. Choi (1998) had used Neural NETWORKs and Geographic Information Systems for forecasting precipitation.

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