Rainfall Prediction Techniques using Artificial Neural Networks –A Brief Review |
Author(s): |
| Himanshu Pant ; Yadvendra Singh; Amrindra Pal |
Keywords: |
| Rainfall, Non Linearity, Artificial Neural Network, Modeling, BPN, RBFN, SVM,Rainfall Prediction, Artificial Neural Networks |
Abstract |
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Rainfall prediction due to its highly nonlinear and complicated process is very challenging and difficult Task for meteorologists in the current scenario. Prediction of this type of non-linearity present in rainfall Events can be modeled by advanced computer modeling and simulations. The Artificial Neural Network (ANN) is a new technique with a computational mathematical structure which is having capability to identify complex non-linear relationships between input and output data .This paper presents a review of available techniques based on Artificial Neural Networks which are used by various researchers for Prediction of rainfall. |
Other Details |
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Paper ID: NCILP043 Published in: Conference 1 : NCIL 2015 Publication Date: 16/10/2015 Page(s): 172-177 |
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