摘要
选取大气环境质量标准作为运算作本，以大气污染物各级标准位作为详本输入信息，建立了大气环境质量的B－P网络评价模型。该模型用于武汉市大气环境质量评价，并与用模糊教学评价结果比较，表明B—P人工神经网络用于大气环境质量评价具有通用性、合理性和实用性．
<Abstrct>Based on B-P neural netwerk, this paper proposesthe assessment model of atmospheric environment quali-ty, which selects the criteria of atmospheric environmentquality as training samples and tha atmospheric pollutantsas input characters. Tha application of this model to theassessment of atmospheric environment quality of city and the comparison with fuzzy mathematics assessmentmethod show that it possesses the generality, reasonable-ness and practicality to assess the atmospheric enviror-ment qtality by using B-P herual network.
出处
《干旱环境监测》
北大核心
1997年第1期11-13,共3页
Arid Environmental Monitoring
关键词
B-P算法
人工神经网络
评价
环境质量
大气质量
B-P algorithm
Artifical neural network
Atmospheric environment
Environment evaluation
