Title :
Study on the Quantitative Evaluation of Underground Space´s Air Quality
Author :
Di, Yanqiang ; Huang, Tao ; Zhao, Yu ; Xie, Qian
Author_Institution :
Building Environ. & Energy Res. Inst., China Acad. of Building Res., Beijing, China
Abstract :
In this paper, the quantitative evaluation model-attribute recognition model is used to identify underground spacepsilas air quality. Three types of method are applicated to empower the objective weights, which avoid determining the weights subjectively. In the light of actual description of the process, the ultimately evaluation of underground spacepsilas air quality is fit for the result of reality.
Keywords :
air pollution; model-attribute recognition; quantitative evaluation; underground space air quality; Air pollution; Artificial neural networks; Equations; Extraterrestrial measurements; Fuzzy neural networks; Power engineering and energy; Space technology; air quality; attribute recognition; quantitative evaluation; underground space;
Conference_Titel :
Engineering Computation, 2009. ICEC '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3655-2
DOI :
10.1109/ICEC.2009.52
