摘要
运用人工神经网络理论和方法 ,建立了地下水水质评价的 BP神经网络模型 ,对肥城市 6眼水井的地下水水质进行了评价 ,并与综合指数法、模糊综合评判法的评价结果进行了比较 .结果表明 ,用 BP神经网络模型评价地下水水质是可行的 ,该模型具有很强的的学习、联想和容错功能 ,其分析结果和过程都接近人脑的思维过程和分析方法 ,使得地下水水质评价结果的精度大大提高 .
Application of ANN theory and method makes BP neural network model in groundwater quality evaluation, with which groundwater quality of six wells in the city of feicheng is evaluated and compared with the evaluation results to aggregative index number method in groundwater quality evaluation is feasible. This model possesses strong functions of study, association and fault tolerance, moreover, both its analysis results nd process approach the metal process and analysis method of human brain, which greatly improves the accuracy of groundwater quality evaluation.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2000年第8期124-127,共4页
Systems Engineering-Theory & Practice
基金
山东省水利厅科研基金
