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Appropriateness of Neural Networks in Climate Prediction and Interpolations: A Comprehensive Literature Review

Sanjeev Karmakar, Siddhartha Choubey, Pradeep Mishra. Published in Artificial Intelligence

International Journal of Applied Information Systems
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Sanjeev Karmakar, Siddhartha Choubey, Pradeep Mishra
10.5120/ijais2016451552
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  1. Sanjeev Karmakar, Siddhartha Choubey and Pradeep Mishra. Appropriateness of Neural Networks in Climate Prediction and Interpolations: A Comprehensive Literature Review. International Journal of Applied Information Systems 10(10):33-54, May 2016. URL, DOI BibTeX

    @article{10.5120/ijais2016451552,
    	author = "Sanjeev Karmakar and Siddhartha Choubey and Pradeep Mishra",
    	title = "Appropriateness of Neural Networks in Climate Prediction and Interpolations: A Comprehensive Literature Review",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "May 2016",
    	volume = 10,
    	number = 10,
    	month = "May",
    	year = 2016,
    	issn = "2249-0868",
    	pages = "33-54",
    	numpages = 22,
    	url = "http://www.ijais.org/archives/volume10/number10/899-2016451552",
    	doi = "10.5120/ijais2016451552",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

To be familiar with appropriateness of Neural Network in climate prediction and spatial interpolation, e comprehensive literature review of past 50 years is done and offered in this paper. And it is established that Neural Network such as BPN, RBF is best appropriate to be predicted chaotic behavior of climate variables like rainfall, rainfall runoff, and have efficient enough for prediction in long period. It is also found that Neural Network is significant for spatial interpolation of mean climate variables.

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Keywords

Neural Network, Chaos, Prediction, Forecasting, Climate