期刊名称：International Journal of Information and Communication Technology Research
电子版ISSN：2223-4985
出版年度：2012
卷号：2
期号：2
出版社：IRPN Publishers
摘要：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.
