1.
The application of BP-NN optimized by MCPSO for forecasting of daily water consumption
MCPSO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.
The Nonlinear Time Series Model of Xi an Urban Daily Water Demand;
西安市日用水量的非线性时间序列模型
4.
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
5.
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
6.
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
7.
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
8.
Maximum Rainfall in One Day and Maximum Rainfall in One Hour for the Applicability of Frequency Analysis Research in Taiwan Area
日最大降水量与时最大降水量于台湾地区频率分析适用性之研究
9.
This led to use of longer-duration varieties and to significant yield increase.
这样便可采用大日月水稻品种使产量明显增加。
10.
The daily per capita household water consumption is 216 litres, 3 litres less than the previous year.
人均日生活用水量216升，比上年减少3升。
11.
The Relationship between Nutrition Levels and Intake of Chicks;
肉用雏鸡日粮营养水平与采食量的关系
12.
Real-time Estimation of Soil Moisture Content Based on Precipitation of Automatic Weather Station
利用自动站逐日降水量实时估测土壤墒情
13.
The rate of delivery of solar radiation per unit of horizontal surface.
日射能量单位水平面上日辐射的量
14.
Today the demand for water is extremely high, as it is needed for domestic, agricultural and industrial purposes.
如今对水的需求量很高，因为日常生活、农业、工业都要用水。
15.
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。
16.
Comparative Analysis of Seasonal Drought Events in Guangzhou with Precipitation and Day without Rain
用降水量和无雨日数判别广州季节性干旱的对比分析
17.
employed when flying overwater in the daytime
日间飞越水域时使用的
18.
Interdictum de aqua cotidiana et aestiva
日常和夏季用水令状