HIGH IMPACT FACTOR - 2.39

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

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

Paper ID: NCILP043
Published in: Conference 1 : NCIL 2015
Publication Date: 16/10/2015
Page(s): 172-177

Article Preview




Download Article