摘要
采用神经网络(ANN)方法对沿程水头损失系数的影响因素进行了分析.以著名的尼古拉兹试验数据为基础,建立了相应的ANN模型.模型计算结果与试验数据以及经验公式的计算成果比较表明,利用ANN模型进行沿程水头损失系数影响因素评估有效和方便.计算实例表明,采用ANN方法计算沿程水头损失系数简单方便,计算精度高,工作量小,可操作性强,通用性好,工程适用性强.因此,以试验数据为基础建立的水力学体系,可以以ANN方法为新的分析与计算手段,进行新的发展.
Influential factors of friction factor of head loss are analyzed by adopting artificial neural network (ANN). An ANN model is established with data of famous Nikuradse-test. The calculation result that is compared with test data and empirical formula result, shows that it is convenient and effective to adopt ANN model to analyze the influential factors of friction factor of head loss. An example shows that it is convenient and accurate to calculate the friction factor with the ANN model and it can be used in engineering practice. Therefore, the hydraulic problems can be analyzed and developed by means of( ANN method.)
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2004年第6期22-26,共5页
Engineering Journal of Wuhan University
关键词
沿程水头损失系数
影响因素
神经网络
经验公式
friction factor of head loss
influential factor
artificial neural network(ANN)
empirical (formula)
