The result of on-line application indicated that rolling force model has good precision of prediction with an error less than 5%.

现场在线应用结果表明：给出的轧制力模型具有良好的预测精度，预测误差可以控制在5%以内。

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To improve the precision and efficiency of rolling force prediction on tandem cold rolling mill, a neural network model combined with ant colony algorithm is presented.

为提高冷连轧机轧制力的预报精度和预报速度，用蚁群算法和神经网络相结合的方法进行轧制力预报模型设计。

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For improving the precision of prediction of rolling model, a new method using artificial neural networks of rolling force modeling is put forward.

为了提高轧制力模型预报值的精度，提出了一种基于人工神经网络的轧制力建模新方法。

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