文章基本信息

标题：A Neural Network Model for Forecasting CO2 Emission
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作者：Gallo, C. ; Contò, F. ; Fiore, M. 等
期刊名称：Journal of Food Distribution Research
印刷版ISSN：0047-245X
出版年度：2014
页码：31-36
出版社：Food Distribution Research Society
摘要：Air pollution is today a serious problem, caused mainly by human activity. Classical methods are not considered able to efficiently model complex phenomena as meteorology and air pollution because, usually, they make approximations or too rigid schematisations. Our purpose is a more flexible architecture (artificial neural network model) to implement a short-term CO2 emission forecasting tool applied to the cereal sector in Apulia region – in Southern Italy - to determine how the introduction of cultural methods with less environmental impact acts on a possible pollution reduction.
关键词：Air pollution;CO2 emission;artificial neural network;autoregressive;cereal sector