| 神经网络应用于烧结矿质量在线推断 |
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| 引用本文： | 邵贤强,邱道尹.神经网络应用于烧结矿质量在线推断[J].北京科技大学学报,1995,17(6):567-571. |
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| 作者姓名： | 邵贤强 邱道尹 |
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| 作者单位： | 北京科技大学自动化系，郑州工学院计算机与自动化系 |
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| 摘 要： | 针对烧结过程生产实际，运用神经网络中的ＢＰ学习算法设计了分类器，用于在线推断烧结矿的质量，为了加快ＢＰ学习算法的收敛速度，采用了自适应变步长学习算法，实验结果表明，由此建立的烧结过程神经网络质量预报模型，预报正确率高，具有很好的泛化能力。
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| 关 键 词： | 烧结 神经网络 模式识别 质量 在线推断 |
On-line Inference of Sintering Quality via Neural Networks |
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| Shao Xianqiang,Zhang Tiejun,Qu Shoude,Qiu Daoyin.On-line Inference of Sintering Quality via Neural Networks[J].Journal of University of Science and Technology Beijing,1995,17(6):567-571. |
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| Authors: | Shao Xianqiang Zhang Tiejun Qu Shoude Qiu Daoyin |
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| Abstract: | Presents a new method of on-line inference of sintering quality. Neural networks to build the sinternig quality inference model are used. To speed the learning, a fast BP learning algorithm with adaptive variable step size via linear reinforcement is presented.The experiment result is satisftory, and this method may be used widely in other complicated production proasses. |
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| Keywords: | sintering neural network pattern recognition/adaptive variable step-size |
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