通过该模型可控制终点碳和温度以及提高铬的回收率。
The end carbon content and temperature were controlled, and the chromium yield was increased by using the model.
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。
The results show that this method can effectively enhance the hit rate of end-point carbon prediction and the training speed of network.
随着冶炼节奏的加快，电炉强化用氧技术的应用，终点碳的命中率有所下降。
With the speeding up of smelting and the application of oxygen strengthening technology used in electric furnace, the hitting accuracy of aim carbon decreases a little.
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