1.
Establishment and Application of the Interactive Model of the Urban Water Demand Prediction;
交互式城市需水预测模型的建立及其应用
2.
Logistic-ARIMA coupling model for forecast of demand of urban water resources;
城市水资源需求量预测Logistic-ARIMA耦合模型
3.
Application of Partial Leash Squares Method to Forecast the Urban Water Demand Quantity;
偏最小二乘回归模型在城市需水预测中的应用
4.
Modified GM(1,1) model for predicting the water resource demand in the Guanzhong Region, Shaanxi Province, China;
预测陕西关中地区需水量的改进GM(1,1)模型
5.
The Application of Optimal Neutral Network Model in the Forecast of the Crop's Water Demand
优化神经网络模型在作物需水量预测中的应用
6.
Combined prediction model for regional water demand based on set pair analysis
基于集对分析的区域需水量组合预测模型
7.
The Forecasting Model of Water Requirement in Whole Breeding Time of Paddy;
基于灰色两次拟合与残差修正的水稻需水量预测模型研究
8.
On the developmental forecast and need analysis of Hunan rice combined harvester based on GM1.1 model;
基于GM(1.1)模型的湖南水稻联合收割机发展预测与需求分析
9.
City Life Water Requirement Forecast Based on Grey Information Model GM(1,1);
基于灰色新信息GM(1,1)模型的城市生活需水量预测
10.
Application of the Penman Model in the Crop Water Requirement's Prediction--Take Shenyang Region as an Example
彭曼模型在预测作物需水量中的应用——以沈阳地区为例
11.
Forecasting water demand of mining area based on the same dimension gray recurrence dynamic model GM(1,1)
基于等维灰数递补动态GM(1,1)模型的矿区需水量预测研究
12.
Application of the improved gray model on the prediction of city water demand in industry
改进的灰色模型在城市工业需水量预测中的应用
13.
Application of Residual Error Gray Forecast Model on Logistics Demand Forecast;
残差灰色预测模型在物流需求预测中的应用
14.
Improvement of Gray System Forecast Model and Forecast of Supply and Demand of Domestic Soybean;
灰色系统预测模型改进及大豆供需分析与预测
15.
Middle and long term electricity demand forecasting based on multi-exponents sliding forecast model;
基于多指数平滑预测模型的中长期需电量预测
16.
The Grey Prediction Model Applies to Regional Logistics Demand Forecasting
灰色预测模型在区域物流需求预测中的应用
17.
The Econometrics Model of Estimated Urban Employment Demand
城镇劳动就业需求预测计量经济模型
18.
The Forecast of Oil Demand in China Using Cointegration Model;
基于协整模型的中国石油需求量预测