摘要
水环境中的有机污染物含量复杂,其扩散迁移过程更是一个由多种因素共同影响作用的复杂的非线性过程。根据河流地表水中的有机污染物的浓度和影响其浓度的主要因素之间存在的已有映射作用关系,利用对一河流断面的实际监测数据,以采用BP算法的人工神经网络方法建立网络模型。结果表明该方法预测精度高,具有很高的应用价值。
The content of organic pollutants of water environment is very complex and its pervasion and transference is complex and non-linearity process by effect of multiple factors. Based on the existent mapped relation between concentration of organic pollutants and mostly factors of affecting concentration of surface river water, used in practical monitoring data of a river cross section, a network model of artificial neural network of BP arithmetic was established. The calculation result shows that the method has high predicting accuracy and is worth of application.
出处
《计算机与应用化学》
CAS
CSCD
北大核心
2002年第4期434-437,共4页
Computers and Applied Chemistry
关键词
预测
浓度
地表水
有机污染物
环境监测
BP算法
人工神经网络
surface water
organic pollutants
environmental monitoring
BP arithmetic
artificial neural network
