日用水量预测,forecasting of daily water consumption
1)forecasting of daily water consumption日用水量预测
1.The application of BP-NN optimized by MCPSO forforecasting of daily water consumptionMCPSO优化BP-NN在日用水量预测中的应用
英文短句/例句
1.The application of BP-NN optimized by MCPSO for forecasting of daily water consumptionMCPSO优化BP-NN在日用水量预测中的应用
2.Prediction of Daily Water Consumption Based on Artificial Immunity and Support Vector Machines基于人工免疫与支持向量机的日用水量预测
3.Meteorological factors involved urban water demand forecast model考虑气象因子的城市日用水量预测模型
4.Researches on Daily Water Demand Prediction of Coal Preparation Plant Based on Neural Network基于神经网络的选煤厂日用水量预测研究
5.Partially linear AR model of urban daily water demand城市日用水量预测的部分线性自回归模型
6.Prediction Method of Urban Daily Water Consumption Based on Fractional Theory基于分形理论的城市日用水量预测方法
7.Application of a Combined Predicted Method in Forecast of Waterway Freight Volume;组合预测在水路货运量预测中的应用
8.Applications of Support Vector Machine to Freezing支持向量机在凝冻日数预测中的应用
9.Research and application of the prediction of reclaimed water demand in city城市再生水需水量预测的研究与应用
10.Study on Prediction of Water Consumption and Inverse Analysis of Node Demand;时用水量预测及供水管网节点流量反分析研究
11.Forecast of Irrigation Water Use Based on Neural Network;基于神经网络的灌溉用水量预测研究
12.Prediction of Amount of Water Use in Sichuan Province Based on the Principal Component Analysis基于主成分分析的四川省用水量预测
13.Forecasting of water consumption in Xi"an city based on MOBP model基于MOBP模型的西安市用水量预测分析
14.Prediction of City Water Usage Based on GM(1,1) Model基于灰色GM(1,1)模型的城市用水量预测
bined forecast model of urban hourly water consumption based on BP neural networkBP网络的城市时用水量预测组合模型
16.Forecast Research of Urban Water Consumption Based on Chaos Theory基于混沌理论的城市用水量预测研究
17.BP Neural Network in Prediction of the Urban Water Supply神经网络在城市供水量预测中的应用
18.Using Mean Generating Function Forecast Summer Rainfall and High Temperature Days in Jiaozuo利用均生函数预测焦作夏季降水及高温日数
相关短句/例句
water consumption forecast用水量预测
1.Forecast of water consumption in urban areas could be divided into such catalogues as: medium and long-term yearlywater consumption forecast, short-term hourly, daily and monthlywater consumption forecast.城市用水量预测可分为中长期的年用水量预测以及短期的时用水量预测、日用水量预测和月用水量预测。
3)water demand forecast用水量预测
1.Application of long-termwater demand forecast in urban water resource planning;中长期用水量预测在城市水资源配置中的应用
2.Application of GM(1,1) in long-term urbanwater demand forecast灰色模型在城市中长期用水量预测中的应用
4)water consumption prediction用水量预测
1.In order to set up the model storehouse of predicting urban water consumption, this paper has summarized thewater consumption prediction methods, and introduces several representative methods in detail, such as time array analysis approach, grey GM (1, 1) and water quota law method.为了建立城市用水量预测方法模型库,本文总结了城市用水量的预测方法。
2.In view of the fact that the city daily water consumption is affected by many factors and has complicated non-linear characteristic,awater consumption prediction model is constructed based on support vector machines of regression analyses and artificial immunity.鉴于城市日用水量受众多因素的影响和具有复杂的非线性特点,提出一种基于人工免疫与回归支持向量机的用水量预测模型,根据免疫学原理的阳性选择对样本进行聚类后,由于去除非同类信息的干扰,样本数量大为减少,样本信息得到提纯。
5)prediction of water consumption用水量预测
6)Water Demand Forecasting用水量预测
1.Water demand forecasting and water price are two important parts of water resources management.用水量预测和水价是水资源管理的两个重要内容。
延伸阅读
日用【诗文】：舂谷灌园蔬，日长闲有余。何妨忍挥汗，合药施乡闾。【注释】：【出处】：
