同时给出不同城市大气质量评价中应用的结果与实测结果有相当好的相关性。
The good relativity between real measurements and calculated results by using this model in air quality evaluation of some cities is showed in the paper also.
基于模糊数学评价法和神经网络评价法的优点，提出了一种新的大气质量评价模型。
On the basis of the merits of fuzzy judgment and neural network judgment, a new model for air quality assessment is proposed.
分析城市交通环境空气影响因素，设计一套评价指标体系，并建立了环境大气质量评价的灰色决策模型。
Elements which influence the urban traffic air, we design a index system and construct the grey decision model to assess the Quality of the air.
研究了基于多准则学习的模糊神经网络评价环境大气质量的模型。
This paper is concerned with an assessment model of air environmental quality by using fuzzy neural network with multi criteria learning algorithm.
本论文将属性综合评价系统应用于大气质量的综合评价、公共场所卫生评价、医院综合质量的评价三个方面。
This paper utilized the attribute synthetic assessment system for atmospheric quality assessment, public place quality evaluation and hospital comprehensive quality assessment.
本论文将属性综合评价系统应用于大气质量的综合评价、公共场所卫生评价、医院综合质量的评价三个方面。
This paper utilized the attribute synthetic assessment system for atmospheric quality assessment, public place quality evaluation and hospital comprehensive quality assessment.
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