适当控制炉渣的氧化铁和碱度可使吹炼终点磷含量达到预定值。
The phosphur content of steel at blowing end can reach predetermined level by proper control on the FeO content and basicity of slag.
转炉炼钢过程控制的核心是吹炼终点控制模型，该模型又由三个子模型组成。
The kernel of the converter blowing procedure control is the blowing endpoint control model which is made up of three submodels.
只有减小原料条件的波动和稳定操作，才可用热平衡方法预测吹炼终点熔池温度。
Thermal equilibrium can be used for predicting bath temperature at endpoint only with stable raw materials supply and operation.
本文以转炉吹炼工业生产过程为背景，着重研究转炉吹炼终点预报模型的建立和应用。
On the background of production process of matte converting, the endpoint predictive model is established and applied.
提出了基于改进的BP神经网络学习算法和自适应残差补偿算法的炼铜转炉吹炼终点组合预报模型。
It is the first time that a converting furnace endpoint prediction model based on an improved BP neural network and error compensation of linear regression.
采用BP神经网络，建立炼铜转炉吹炼造铜期终点与各影响因素之间的数学模型，对吹炼终点进行预报。
A mathematical model of endpoint and correlative factors is developed to predict the endpoint of matte-converting using the BP neural network model.
采用BP神经网络，建立炼铜转炉吹炼造铜期终点与各影响因素之间的数学模型，对吹炼终点进行预报。
A mathematical model of endpoint and correlative factors is developed to predict the endpoint of matte-converting using the BP neural network model.
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