BP网络、Hopfield网络在水质评价应用中的比较研究  

A Comparative Study of BP and Hopfield Neural Networks in Water Quality Evaluation

作　　者：初海波[1] 卢文喜[1] 尹津航[1] 张蕾[1] 

机构地区：[1]吉林大学环境与资源学院,长春130021

出　　处：《中国农村水利水电》2011年第10期70-72,共3页China Rural Water and Hydropower

基　　金：国家水体污染控制与治理科技重大专项(2009ZX07526-006-04-01)

摘　　要：针对BP网络、Hopfield网络在水质评价的应用问题,建立BP网络、Hopfield网络水质评价模型,对BP网络、Hopfield网络从结构、输入输出、稳定性、评价结果等方面进一步地分析比较。然后以东辽河为例,运用BP网络、Hopfield网络、模糊评价法、内梅罗指数法4种水质评价方法进行水质评价,通过比较评价结果进行深入研究。结果表明,Hopfield神经网络更适用于水质评价。对神经网络方法水质评价问题进行探讨,试图找出BP网络、Hopfield网络方法在水质综合评价中的优缺点,具有非常现实的意义。For water quality evaluation,the water quality assessment model by BP network and Hopfield networks are established.The Dongliao River is taken as an example to make a further analysis of BP networks and Hopfield networks from the structure,input and output,stability,evaluation results and other aspects.The results are compared and studied further.Comparative results show that Hopfield neural network is more suitable for water quality evaluation.In this paper,it is significant to explore water quality evaluation by neural network methods,trying to find the advantages and disadvantages of BP networks,Hopfield network in water quality comprehensive assessment.

关 键 词：BP神经网络 HOPFIELD神经网络 水质评价研究 

分 类 号：X824[环境科学与工程—环境工程]