| 用RBF神经网络预报冷轧精整机组的成材率 |
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| 引用本文： | 王旭东,李颢,邵惠鹤.用RBF神经网络预报冷轧精整机组的成材率[J].系统工程理论与实践,1997,17(11):83-87. |
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| 作者姓名： | 王旭东 李颢 邵惠鹤 |
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| 作者单位： | 上海交通大学自动化研究所 |
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| 摘 要： | 分析了某冷轧厂的发货预报系统，并利用改进ＲＢＦ（ＲａｄｉａｌＢａｓｉｓＦｕｎｃｔｉｏｎ）神经网络学习算法建立了该系统中精整机组成材率的预报模型。仿真效果很好。文章最后就可能存在的问题提出了解决方案。
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| 关 键 词： | 发货预报 精整机组 RBF神经网络 |
Predicting the Productivity of a Cold Rolling Sizing Unit by the RBF Neural Network |
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| Wang Xudong,Li Hao,Shao Huihe.Predicting the Productivity of a Cold Rolling Sizing Unit by the RBF Neural Network[J].Systems Engineering —Theory & Practice,1997,17(11):83-87. |
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| Authors: | Wang Xudong Li Hao Shao Huihe |
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| Abstract: | First in this paper, the goods delivery prediction system of a steel factory is analyzed. Then a model for predicting the productivity of a cold rolling sizing unit is designed through the improved training algorithm of the radial basis function neural network.Results of simulation is very good. Finally in this paper, a method for solving the possible problem is put forward. |
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| Keywords: | goods delivery predicting sizing unit RBF neural network |
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