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带钢卷取温度高精度预报模型的研究与开发
引用本文:张树存.带钢卷取温度高精度预报模型的研究与开发[J].燕山大学学报,2002,26(3):261-263.
作者姓名:张树存
作者单位:燕山大学机械工程学院,秦皇岛,066004
摘    要:针对传统卷取温度模型的固有缺陷,为了提高卷取温度的控制精度,提出一种将人工神经网络和数学模型相结合的新方法,用于热轧带钢卷取温度的预报。离线仿真表明,采用本文所述的方法,能够较准确地预报带钢的卷取温度。

关 键 词:数学模型  神经网络  BP算法  卷取温度预报  带钢
修稿时间:2001年12月11

Research and Development of High Accuracy Prediction Model About Strip Coil Temperature
,..Research and Development of High Accuracy Prediction Model About Strip Coil Temperature[J].Journal of Yanshan University,2002,26(3):261-263.
Authors:,
Institution:(Zhang Shucun),(The College of Mechanical Engineering,Yanshan Univerrsity,Qinhuangdao 066004).
Abstract:Against the inherent defect of traditional coil temperature model and to improve the control accuracy of coil temperature , a new method is brought forward, which combines the artificial neural network (ANN) with mathematics model for the coil temperature prediction about hot rolling. The offline emulation suggests that it can more accurately predict the temperature of strip coil with the method described in this paper.
Keywords:mathematics model  artificial neural network (ANN)  BP algorithm  prediction of coil temperature  
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