BP神经网络模型在地下水质量评价中的应用  

Application of BP Neural Network Model to Groundwater Environment Quality Evaluation

作　　者：施枫芝[1] 迟宝明[1] 潘杰[2] 

机构地区：[1]吉林大学环境与资源学院,长春1300262 [2]江苏省水文水资源勘测局常州分局,浙江常州213001

出　　处：《工程勘察》2008年第10期35-37,共3页Geotechnical Investigation & Surveying

基　　金：吉林省科技厅发展项目

摘　　要：介绍了BP神经网络的基本原理和计算方法。采用6-11-5三层拓扑结构的BP神经网络模型对伊通河下游地下水质进行评价,并与内美罗指数法、模糊综合评判法和物元可拓法评价结果比较。结果表明BP神经网络计算简便、评价结果客观准确,很好地反映了地下水质量的总体状况。The basic theory and calculating process of BP neural network is introduced in the paper. Then, BP neural network model is applied to the groundwater quality evaluation for the downstream of Yitong River with 6-11-5 three-layer network structure. The comparison of the evaluated result with Nemero Index, Fuzzy comprehensive method and Matter-element Analysis shows that BP neural network is simple in calculation, objective and exact in evaluation results and also well reflects the whole condition of groundwater quality.

关 键 词：BP神经网络 地下水质量评价 

分 类 号：X824[环境科学与工程—环境工程]