基于模糊概率神经网络的城市空气质量评价  

Assessment for Urban Air Quality Based on Fuzzy Probabilistic Neural Network

作　　者：袁桂蓉[1,2] 周伟[2] 

机构地区：[1]重庆师范大学数学与计算机科学学院,重庆400047 [2]重庆电力高等专科学校管理科学系,重庆400053

出　　处：《重庆电力高等专科学校学报》2009年第1期76-78,共3页Journal of Chongqing Electric Power College

摘　　要：将模糊数学方法和概率神经网络结合起来,用模糊概率神经网络(FPNN)评价城市空气质量。阐明该网络模型的构建方法,并用实例加以验证,经仿真表明该法切实可行,评价结果客观可靠。This essay focuses on how to combine Fuzzy Mathematics Method and Probabilistic Neural Network to assess urban air quality with Fuzzy Probabilistic Neural Network （FPNN）. By exemplifying and verifying the constructive methods of this network model, it proves that this method is feasible with objective and reliable assessment result after simulation.

关 键 词：空气质量 相对隶属度 概率神经网络 

分 类 号：X822[环境科学与工程—环境工程] X823