A REVIEW STUDY OF RAINFALL PREDICTION USING NEURO-FUZZY INFERENCE SYSTEM
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 0, Vol 4, Issue 8
Abstract
Rainfall Prediction is a very challenging task. In India which is an agricultural country, the success or failure of the crops and water scarcity in any year is always viewed with greatest concern. A small fluctuation in the seasonal rainfall can have devastating impacts on agriculture sector. Accurate rainfall prediction is a necessity in agriculture field. Various algorithms have being proposed but rainfall prediction is still not accurate. It is difficult to name a particular algorithm is suitable for prediction. Sometimes when certain algorithms are combined, they perform better and are more effective. In this paper our main motive is to study Data mining, Neural Network, fuzzy logic and ANFIS.
Authors and Affiliations
Rupa*
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