城市日用水量,municipal daily water consumption
1)municipal daily water consumption城市日用水量
bined with the characteristics and variation rule of the factors influencingmunicipal daily water consumption,a forecast model formunicipal daily water consumption was set up,then the particle swarm optimization was used to optimize BP artificial neural network to solve the model.结合城市日用水量影响因素的特点和变化规律,建立了城市日用水量预测模型,采用粒子群优化算法优化BP人工神经网络的连接权值,以求解该预测模型。
2.Forecast model formunicipal daily water consumption and its influencingfactors was set up, and then radial basis function ( RBF) network and support vector machines ( SVM) were adopted to solve the model.结合城市日用水量影响因素的特点和变化规律,分析探讨了城市日用水量预测模型的求解方法。
英文短句/例句
1.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
2.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
3.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
4.The city water consumption and waste water discharge rises continuously in Daqing city, which has resulted in shortage of water resources and severe environment pollution.大庆市城市用水量和污水排放量不断增加,造成水资源紧缺,环境污染日益严重。
5.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
6.Applied Research of 2-Demension Water Quantity and Water Quality Coupled Model of Shallow Lake in the City;城市浅水湖泊二维水量、水质耦合模型应用研究
7.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
9.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
10.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
11.Quantitative research on the relationship between urbanization and the water for living in northwest China--Case study of Lanzhou City;城市化与西北城市居民用水关系的定量研究——以兰州市为例
12.The Study of Ladder s Measure Water Price of Urban Household Water-Consumption;城市居民生活用水的阶梯式计量水价研究
13.Discussion on per capita comprehensive water consumption index value in urban water supply plan城市供水规划中人均综合用水量指标取值讨论
14.Application and Study on Water Demand Mixed Forecasting Model of Urban;城市用水量组合预测模型的应用与研究
15.The Application of the Principal Component Regression in Forecasting Urban Water Use;主成分回归在城市用水量预测中的应用
16.Application of the Multiple Linear Regression in Forecasting City Water Consumption多元线性回归模型在城市用水量预测中的应用
17.Application of the method of integrated water consumption per capita in a southwest city of China人均综合用水量法在西南城市中的应用探讨
18.Application of GM(1,1) in long-term urban water demand forecast灰色模型在城市中长期用水量预测中的应用
相关短句/例句
urban water use城市用水量
1.Forecastingurban water use by combining multiple linear regression with grey model(1,1);多元线性回归与GM(1,1)模型耦合预测城市用水量
2.The principal component regression(PCR) is applied to set up theurban water use model,it can solve the problem of interactive correlation among the independent variables.运用多元统计分析中的主成分分析法通过提取两个主成分,克服变量之间的相关性,然后再进行回归,建立主成分回归的城市用水量模型,并对模型进行了拟合检验,取得了较为满意的结果。
3)urban water consumption城市用水量
1.BP model for forecastingurban water consumption;城市用水量BP网络预测模型
2.The chaotic characters of time series ofurban water consumption were judged using the chaos theory.采用混沌理论对城市用水量时间序列的混沌特性进行了判定。
3.The improved method was compared with the traditional method in the case of short-term forecasting forurban water consumption.通过对城市用水量短期预测的实例研究,将改进算法与传统算法进行比较。
4)city water consumption城市用水量
1.Forecast research ofcity water consumption which based on genetic NN;基于遗传神经网络的城市用水量预测研究
2.This article applied the Multiple Linear Regressions to forecastcity water consumption.本文应用多元回归的方法,对城市用水量进行预测。
3.This article applies the multiplelinearregression to forecastcity water consumption.应用多元回归的方法,对城市用水量进行预测。
5)urban water demand城市用水量
1.Forecast model forurban water demand using artificial neural network;人工神经网络法预测城市用水量
6)city industrial water quantity城市工业用水量
1.GM(1,1) model is used for forecastingcity industrial water quantity.灰色GM(1,1)是预测城市工业用水量的模型,这种模型不适合长期的、随机和波动性较大的数据序列预测,但是马尔可夫模型适合描述随机波动性较大的预测问题。
延伸阅读
用日陶瓷分子式：CAS号：性质：生活用的陶瓷器皿。包括饮食用具，厨房用具，贮藏物品用具和日常生活用的其他陶瓷器具。按种类分，日用陶瓷包含有瓷器、陶瓷、精陶和炻器等。
