期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2012
卷号：1
期号：1
页码：12-17
出版社：Shri Pannalal Research Institute of Technolgy
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 conditions 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 Adaptive Resonance Theory 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.
