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An Efficient Approach of Artificial Neural Network in Runoff Forecasting

by Satanand Mishra, Prince Gupta, S. K. Pandey, J. P. Shukla
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 92 - Number 5
Year of Publication: 2014
Authors: Satanand Mishra, Prince Gupta, S. K. Pandey, J. P. Shukla
10.5120/16003-4991

Satanand Mishra, Prince Gupta, S. K. Pandey, J. P. Shukla . An Efficient Approach of Artificial Neural Network in Runoff Forecasting. International Journal of Computer Applications. 92, 5 ( April 2014), 9-15. DOI=10.5120/16003-4991

@article{ 10.5120/16003-4991,
author = { Satanand Mishra, Prince Gupta, S. K. Pandey, J. P. Shukla },
title = { An Efficient Approach of Artificial Neural Network in Runoff Forecasting },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 92 },
number = { 5 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 9-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume92/number5/16003-4991/ },
doi = { 10.5120/16003-4991 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:13:28.044265+05:30
%A Satanand Mishra
%A Prince Gupta
%A S. K. Pandey
%A J. P. Shukla
%T An Efficient Approach of Artificial Neural Network in Runoff Forecasting
%J International Journal of Computer Applications
%@ 0975-8887
%V 92
%N 5
%P 9-15
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This survey paper focused on data mining technique based on artificial neural network and its application in runoff forecasting. The long-term and short- term forecasting model was developed for runoff forecasting using various approaches of Artificial Neural Network techniques. This study compares various approaches available for runoff forecasting of artificial neural networks (ANNs). On the basis of this comparative study, it is tried to find out better approach in perspective of research work.

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Index Terms

Computer Science
Information Sciences

Keywords

Data mining Artificial neural network forecasting wavelet analysis SOM clustering

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