International Journal of Information and Communication Technology Research

International Journal of Information and Communication Technology Research>> Call for Papers(CFP)>>Volume 7, Number 9, September 2017

International Journal of Information and Communication Technology Research


Atmospheric Condition based Clustering using ART Neural

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Author(s) Bhupesh Gour, Asif Ullah Khan
On Pages 182-185
Volume No. 2
Issue No. 2
Issue Date February 01, 2012
Publishing Date February 01, 2012
Keywords Atmospheric Conditions, ART, Clusters, Temperature, Pressure, Humidity



Abstract

Ambient air temperatures prediction is of a concern in environment, industry and agriculture. The increase of average temperature results in global warming. The aim of this research is to develop artificial neural network based clustering method for ambient atmospheric condition prediction in Indian city. In this paper, we presented a clustering method that classifies cities based on atmospheric conditions like Temperature, Pressure and Humidity. Data representing Month-wise atmospheric conditions are presented to ART Neural Network to form clusters which represents association in between two or more cities. Such associations predict atmospheric conditions of one city on the bases of another. ART based clustering method shows that the months of two cities which fall in the same cluster, represent similar atmospheric conditions in them.

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2012 IRPN Publishers