基于综合BP网络的铸坯粗轧过程温度预测模型的研究

Study on Temperature Prediction Model of Continuous Casting Slab during Rough Rolling Process Based on Composite BP Networks

为了进一步提高铸坯粗轧过程温度预测精度,采用BP网络和数学模型相结合的综合BP网络,建立了铸坯粗轧过程温度预测模型,并利用现场实测数据对所建立的模型进行了验证。结果表明,模型的计算精度满足实际生产的需要。

Temperature prediction model during rough rolling process was established by the BP networks in combination with mathematical models to improve the precision of temperature prediction. And the composite BP networks model was verified with the measured data. Results show the model calculation accuracy meets the production requirements. A successful reference cases was provided by the work for practical application of BP networks prediction model.