期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：6
页码：12679
DOI：10.15680/IJIRCCE.2017.0506226
出版社：S&S Publications
摘要：The vehicular population growth in INDIA in different cities with respect to Indian ambient airvaluefactors is the multipart relationship in term of their indices is used to make model for prediction for future.Ambient air quality prediction model has been established for Indian cities like Kolhapur, Sholapur, Pune, Jodhpur,Kodaicannal, Nagpur Mumbai, etc.A new artificial intelligence tool ‘Genetic Programming’ (GP) has been employedfor this modelling such problem. The genetic programming approach is creating to imprisonment the complexaffiliation between the monthly for different towns ambient air value and large scale environmental parameters &vehicular population. The findings of this study indicate that GP-derived monthly Indian ambient air quality forecastingmodels, which use large-scale successful in prediction of Indian ambient air quality cities.For majority of the divisionsduring training, validation and testing of the GP developed models.
