2) water demand prediction
水量预测
1.
Application of improved grey model in the water demand prediction;
改进灰色模型在水量预测中的应用
2.
Hourly water demand prediction of distribution system was mainly studied.
本文介绍了城市给水系统优化调度技术的主要内容，并对优化调度的基础，如用水量预测模型，管网模型和优化调度模型进行了深入的研究。
3) water consumption forecasting
水量预测
1.
Urban water consumption forecasting is the basis of the rational exploitation、management、water pollution control、integrated using and programming in water resource.
用水量预测是水资源合理开发、管理、水污染控制及综合利用规划的基础。
4) water quantity predicting
水量预测
1.
The following paper constructs a artificial neural network - named water quantity predicting model,using automatically adapting and step-self-changing back propagation method(ABPM).
采用自适应变步长的后向传播算法 (ABPM)构建了一个人工神经网络用水量预测模型。
5) prediction of water demand
需水量预测
1.
The prediction of water demand is necessary for understanding the requirement and supply of water resources,and for planning the development of city and economy to keep the sustainability of water resources.
天津市是严重资源型缺水城市,科学、有效的需水量预测研究就尤为重要。
6) estimation of water-gushing amount
涌水量预测
1.
To emphasize expatiating on how the method of grey systems analysis works in the estimation of water-gushing amount of the tunnel,then compare the result with two common methods.
着重阐述了灰色系统分析方法在隧道涌水量预测中的应用,并采用两种较常用的隧道涌水量计算方法(地下径流模数法及降水入渗法)与之进行了比较,其结果对铁矿隧道及其他隧道的涌水量预测具有一定的参考意义。
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条