The rolling force prediction models for the 1st & 2nd hot rolling mills in Bao Steel are analysed and compared with the general form of the force prediction model.
分析了宝钢一、二热轧精轧轧制力计算模型，并与轧制力计算模型的一般形式进行了比较。
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。
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。
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。
Experiment results indicate that the designed rolling force model has better adaptive capability and high prediction accuracy.
试验研究证明，所设计模型具有良好的适应能力，提高了轧制力的预报精度。
Based on practical data trained by the neural network, the model enables to give better prediction result of rolling force.
网络在多次训练后对生产中的历史数据进行了轧制力预报，达到了较高的预报精度。
Based on practical data trained by the neural network, the model enables to give better prediction result of rolling force.
网络在多次训练后对生产中的历史数据进行了轧制力预报，达到了较高的预报精度。
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