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- The real time measurement information of slab temperature behind rough mill can he used to adaptively revise the temperature prediction model. 引入粗轧机组出口的钢坯温度实时检测信息，可对数学模型进行自适应校正。
- Industry experiments and simulations indicate that this temperature prediction model of slab is of high precision, good adaptive ability and strong robustness. 工业试验仿真研究表明，该钢坯温度预报模型精度高、自适应性好、鲁棒性强。
- Considering at the difficulty that the temperature of slab in reheat furnace is immeasurable, an adaptive temperature prediction model based on state space of slab was established according to mechanism of heat transfer. 摘要针对加热炉生产过程中钢坯温度难以在线测量的问题，从钢坯升温传热机理出发建立了基于状态空间的自适应钢温预报数学模型。
- Temperature prediction model of slab 钢坯温度预报模型
- water temperature prediction model 水温预测模型
- Application of Neuron Network to VD Furnace Temperature Prediction Model 神经元网络在VD温度预报模型中的应用
- Study on the Temperature Prediction Model of Molten Steel for RH Process RH精炼钢水温度预报模型
- Keywords VD vacuum degasser;neuro network;temperature prediction model; VD真空脱气炉;神经元网络;温度控制模型;
- BOF end-point temperature prediction model of fuzzy neural network system with subtractive clustering 基于减法聚类的模糊神经网络转炉终点温度预报模型
- The prediction model of coiled tubing fatigue life. 连续油管疲劳寿命预测模型的建立。
- High Temperature Autocontrol System and Temperature Predictive Model 高温自控系统及温度预测模型
- temperature prediction model 温度预报模型
- Prediction model and online compensation of slab surface temperature for stepping reheating furnace were studied. 摘要主要研究步进式加热炉钢坯表面温度预报模型和在线补偿方法。
- This simplified equation was combined with advanced artificial neural network technology to scheme out a simulation model of cast steel cooling stave temperature prediction. 通过实验数据与仿真模型的输出对比,证明这种基于模型的冷却壁温度预测智能仿真方法不仅结构简单,而且准确可靠。
- The RH process control model includes static decarburization model, dynamic decarburization model, temperature model, alloy minimum cost model, and composition prediction model. RH成套过程控制模型主要包括：静态脱碳模型、动态脱碳模型、温度模型、合金最小成本模型、成分预报模型。
- The RH process control model includes static decarburization model，dynamic ecarburization model，temperature model，alloy minimum cost model，and composition prediction model. RH 成套过程控制模型主要包括: 静态脱碳模型、动态脱碳模型、温度模型、合金最小成本模型、成分预报模型。
- The new neural network prediction model of water level is established based on the principal component analysis (PCA). 采用人工神经网络与主分量分析相结合的方法，建立了梧州水位的预报模型。
- Also known as predictive models? 导向模式?
- EOF analyst method is developed to prediction model and here it is used to restore and predict the underwater terrain. 对累积的大量数据进行专题分析，目前发展了EOF分析方法为预测模式，并对黄河三角洲水下地形的恢复和预测作了探讨。
- Subsidence prediction model combining RS and ANN( artificial neural network) is estab1 ished. 建立了以粗集作为前处理器，基于粗集与神经网络相结合的开采沈陷预计模型。
