系统由数据通讯模块、模型设定模块、模型自学习模块、轧件跟踪模块、数据管理模块等多个模块组成。

This system was composed by multiple modules, including data communication module, schedule setup module, self-learning module, rolling piece tracking module and data management module, etc.

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本文提出一种基于自适应预测的无损压缩方法，该方法利用神经网络模型自学习的能力，自适应的调整预测器的预测系数。

In this paper, a lossless compression method, based on adaptive prediction, is presented. This method USES neural network model to modify the prediction weight.

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带钢热连轧精轧机组穿带后的头部厚度精度- - -头部命中率将直接影响绝对AGC的工作，其重要手段是靠提高设定模型精度、模型自学习的收敛速度。

It is necessary to hit accurately the head of the strip for applying absolute AGC in hot rolling mill, important means are to improve accuracy of set-up model and convergence of self-learning model.

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