摘要
人工神经网络已广泛用于模式分类与识别等问题，而城市综合环境质量评价是多因子组合的模式判别问题．采用二级 Ｂ Ｐ 网络构造城市综合环境质量评价模型，该模型应用于四川省 １６个城市的环境质量综合评价和排序，研究结果表明， Ｂ Ｐ网络用于环境质量综合评价具有通用性、客观性和实用性．
The Backpropagation(BP) artifical neural network has widely applied to the model classification and identification etc. The comprechersive assessment of municipal environmental quality is a problem of model identification combined with several factors.By using BP network of two steps, a model was built and used to assess comprehensively the environmental qualities of 16 citys in Sichuan province and put them in order. The results of the study have general, objective and practical characters in assessing comprehensively environmental quality using BP network.
出处
《厦门大学学报（自然科学版）》
CAS
CSCD
北大核心
1999年第5期745-750,共6页
Journal of Xiamen University：Natural Science
关键词
神经网络
环境质量评价
城市环境
综合评价
Artifical neural network, BP algorithm, Environmental quality assessment
