关键词: 压下液压控制系统; 建模; 最小二乘支持向量机; 轧制力预测 [gap=937]Keywords: hydraulic screw - down control system; model; LS - SVM; rolling force prediction
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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。
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。
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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