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1)  prediction model
预报模型
1.
Fuzzy control applied to burning through point based on support vector machines prediction model;
基于支持向量机预报模型的烧结终点模糊控制
2.
Soil moisture prediction model for Heihe River Basin;
黑河流域土壤墒情预报模型
3.
Distributed water erosion prediction model for small watershed in loess plateau;
黄土高原小流域分布式水蚀预报模型
2)  forecast model
预报模型
1.
A forecast model for microstructures and properties of High-carbon steel wires during controlled cool rolling;
控轧控冷中硬线组织和性能的预报模型
2.
Study of the End-point Definite Value Track Forecast Model in Matte Converting Process Based on Model Predictive Control Arithmetic;
基于DMC的吹炼终点定值跟踪预报模型研究
3)  forecasting model
预报模型
1.
Study on forecasting model of shallow aquifer and water consumption in Shangqiu plot;
商丘试区浅层地下水量与用水量预报模型研究
2.
Setting-up hydraulic observation forecasting model by EXCEL;
用EXCEL建立水工观测预报模型
3.
Runoff forecasting model in the Shitouhe Watershed;
石头河流域产流预报模型研究
4)  predicting model
预报模型
1.
Based on relation between blanking pressure and materials' mechanical properties,mainly HV hardness and tensile strength of sheet metals,a model of maximum blanking noise emission presented in previous paper was further deduced mathematically,then two new predicting models were obtained.
考虑到板料硬度、强度与冲裁力的关系,对所提出的冲裁最大噪声即冲裁工艺噪声发射峰值的数学模型作了进一步的数学推导,获得了两个新的预报模型;取用几种钢、铝、铜板的维氏硬度及抗拉强度值,对这些模型进行试验研究,结果表明3个模型都是正确的,其中用硬度值预报是最为简便和精确的,为用板料的特征值来预报冲裁工艺噪声提供了一种简便可行的方法。
2.
By means of the computer predicting model for the cutting force,torque and power of ball end milling cutters,the numerical simulation is carried out for investigating the cutting performance of ball end milling cutters with plane face.
借助建立的铣刀切削力、扭矩和切削功率的计算机预报模型 ,对平前刀面球头铣刀的切削性能进行了数值仿真研究 ;通过分析各种切削参数对切削性能的影响规律 ,获得了不同切削条件下球头铣刀切削力和扭矩的特征和变化趋
5)  predictive model
预报模型
1.
Neural network predictive model for end point temperature in oxidation of 100 t EAF;
100t电弧炉氧化期终点温度神经网络预报模型
2.
Predictive Model for End Aim Temperature of Arc Furnace Based on Hybrid Genetic Algorithm;
基于混合遗传算法的电弧炉终点目标温度预报模型
3.
The predictive model of endpoint temperature and carbon content of basic-oxygen furnace(BOF) steelmaking based on BP neural network was put forward,and a Levenberg-Marquardt(LM) algorithm was used to train the neural network.
转炉内的温度极高,对终点温度和碳的含量很难及时、准确地测量,因此建立精确的温度和碳的预报模型十分重要。
6)  model prediction
模型预报
补充资料:短期天气预报(见天气预报和天气图预报)


短期天气预报(见天气预报和天气图预报)


u。。,,,:‘,anq,yubao短期天气预报见关匀布绍升,二,二一一
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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