应用改进的神经网络模型预报转炉冶炼终点_铁板烧_新浪博客 关键词:氧气转炉；神经网络；终点预报；碳含量；温度 [gap=1373]Key words:BOF; neural network; end-point prediction; carbon content; temperature
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From the aspect of diminishing the complex degree of the model, this paper separates the Endpoint Prediction Model to three detached models, Endpoint Temperature Model, Endpoint Carbon Model and Endpoint Vanadium model.
从降低模型的复杂度的角度，本文将整个终点预报模型分成三个独立的模型，即终点温度模型、终点碳模型、终点钒模型。
参考来源 - 基于径向基神经网络和遗传算法建立转炉提钒终点预报模型的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
There is the better application prospect for the application of artificial neural network in end-point prediction for the whole ferrous metallurgy process.
人工神经网络技术在冶金过程终点预报应用方面具有广阔的应用前景。
Accurate prediction of the end-point temperature and carbon content of BOF molten steel is of great significance to raising the hitting rate of the end-point.
准确预报转炉冶炼终点的钢水温度与碳含量对提高转炉终点命中率具有重要意义。
The results show that this method can effectively enhance the hit rate of end-point carbon prediction and the training speed of network.
结果表明，此法能有效提高对转炉终点碳预报的命中率和网络的训练速度。
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