The haze level forecast based on the hybrid neural networks model
Haze is a weather phenomenon, which is very harmful to the environmental protection or the public health. Therefore, it is necessary to forecast upcoming haze weather so that the protective measures can be taken to minimize the hazes negative impact. A hybrid neural networks model is proposed in this paper for the forecast of the haze level, which consists of two individual neural networks — one is a standard neural network and another is a risk neural network. Experimental results show that the hybrid model is superior to both the standard neural network and the risk one, which provide a support for our work.
haze artificial neural network forecast
Kai Wang Hong Zhao Aixia Liu Bin Han Zhipeng Bai
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution prev Meteorological Institute of Tianjin,Tianjin 300074,China State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution prev
国际会议
上海
英文
744-747
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）