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基于非等间距GM_GRNN组合模型的转炉应用
引用本文:赵辉,周莹莹,王红君,岳有军. 基于非等间距GM_GRNN组合模型的转炉应用[J]. 化工自动化及仪表, 2013, 40(4): 505-507
作者姓名:赵辉  周莹莹  王红君  岳有军
作者单位:1. 天津理工大学自动化学院天津市复杂控制理论与应用重点实验室,天津300384;天津农学院,天津300384
2. 天津理工大学自动化学院天津市复杂控制理论与应用重点实验室,天津,300384
基金项目:天津市科技支撑计划重点项目
摘    要:建立以终点碳和温度为间距的氧气用量非等间距灰色数列预测模型,并利用广义回归神经网络对灰模预测结果进行非线性组合优化,得到氧气质量的综合预测值.通过采集到的某钢厂实际生产数据,建立氧气质量的组合预测模型,得到平均相对精度达到97.39%的一步预测值.验证结果表明该组合模型是准确而有效的.

关 键 词:氧气质量预测  非等间距灰色模型  广义回归神经网络  组合模型

Application of Converter Steelmaking Based on Combination Model of Non-equidistant GM_GRNN
ZHAO Hui , ZHOU Ying-ying , WANG Hong-jun , YUE You-jun. Application of Converter Steelmaking Based on Combination Model of Non-equidistant GM_GRNN[J]. Control and Instruments In Chemical Industry, 2013, 40(4): 505-507
Authors:ZHAO Hui    ZHOU Ying-ying    WANG Hong-jun    YUE You-jun
Affiliation:1 (1. Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, School of Automation of Tianjin University of Technology, Tianjin 300384, China ; 2. Tianjin Agricultural University, Tianjin 300384, China )
Abstract:The non-equidistant grey sequence prediction model for the oxygen dosage was established,which takes terminal carbon and temperature as spacing and employs a generalized regression neural network to nonlinearly optimize grey prediction results so that acomprehensive prediction value of the oxygen dosage can be reached.Basing on the sampled data from a steel works,a combined prediction model for the oxygen weight was established to get a predicted value which boasting of 97.39% in average and relative accuracy.The verification results show that the combined model is effective and accurate.
Keywords:oxygen weight prediction  non-equidistant grey model  generalized regression neural network  combined model
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