1.
Titanium Content Forecasting in Hot Metal Based on Univariate ARIMA Model
单变量ARIMA模型的铁水钛含量预报
2.
A Model for Predicting the Total Oxygen of Steel in the Process of RH Treatment
RH处理超低碳钢中总氧含量预报模型
3.
Final Sulfur Content Prediction Model Based on Artificial Neural Network for Hot Metal Pretreatment;
基于人工神经网络的铁水预处理终点硫含量预报模型
4.
Fuzzy rules Based on Support Vector Machines and its Application to the Prediction of Silicon Content in Hot Metal
基于支持向量机的模糊规则获取及其在铁水硅含量预报中的应用
5.
The Realization of the Iron-smeltery Integrated Automation System and the Model to Predict Silicon Content in Hot Metal Under CIPS;
CIPS结构下炼铁厂集成自动化系统及高炉铁水硅含量预报实现
6.
The Investigation on Software Design of Predicting and Controlling of Silicon Content in Hot Metal Based on Artificial Neural Network and Expert System;
基于神经网络和专家系统的铁水硅含量预报、控制软件研究
7.
Study on prediction model of silicon content in blast furnace liquid iron based on neural network
基于神经网络的高炉铁水硅含量预报模型的研究
8.
Forecast of Inflow Hydrograph and Out Flow Sediment Concentration of Reservoir;
水库入库洪水预报与出库含沙量预测
9.
The support vector regression based on the chaos particle swarm optimization algorithm for the prediction of silicon content in hot metal
铁水硅含量的混沌粒子群支持向量机预报方法
10.
Daily Runoff and Suspended Sediment Concentration Forecast for Flood Season of Tao River Basin;
洮河流域汛期日径流与含沙量过程预报
11.
Experimental Study of Induced Ship Hull Excitation Force Prediction at different gas content
不同空气含量下螺旋桨激振力预报的试验研究
12.
Prediction Model of Final Sulfur Content Based on Artificial Neural Network for Hot Metal Pretreatment at Ansteel
鞍钢铁水终点硫含量神经网络预报模型
13.
A Nonequilibrioum Transformation Forecasting Model of Sediment Concentration with Discharge Distribution along Channel
流量沿程变化的不平衡输沙含沙量过程预报方法
14.
A Neural Network Model Predicting the Silicon Content in Hot Metal at No.3 Blast Furnace of No.2 Ironworks TangShan Iron and Steel Co.;
唐钢二炼铁厂3号高炉铁水硅含量神经网络预报模型
15.
Study on Methods of Hydrograph Forecasting of Sediment Concentration for the Yellow River Reach from Huayuankou to Jiahetan;
黄河下游花园口至夹河滩段含沙量过程预报方法研究
16.
Further Studies on Methods of Hydrograph Forecasting of Sediment Concentration for Sediment-Laden River;
多沙河流河段悬移质含沙量过程预报方法的再探讨
17.
Application of the optimum empirical formula by GAS to the calculation of the sediment concentration process in the Lower Yellow River
GAS优化经验公式参数方法在黄河下游含沙量过程预报中的应用
18.
Establishment and applicable study of forecasting scheme for flood maximum sediment concentration at Longmen Station on Middle Yellow River
黄河中游龙门站洪水最大含沙量预报方案的建立及应用研究