板带冷轧机高精度板形预测模型的研究

The research with high accuracy shape prediction model for strip cold mill

针对传统数学工具建立的板形关系模型的固有缺陷 ,为了提高板形预测精度 ,提出了一种基于人工神经网络建模的自适应板形预测控制算法。仿真实验结果表明

Against the inherent defect of shape model established by traditionally mathematic tool and to improve the control accuracy of shape predicted,a new method,i.e.a self adapting algorithm of shape prediction and control based on the artificial neural network(ANN),is brought forward:The emulation experiments show that using the model can more accurately make the prediction.paper