| BP神经网络在合成镁钙砂中的应用 |
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| 引用本文： | 陈树江,谢安国,陆平鸽,田凤仁.BP神经网络在合成镁钙砂中的应用[J].耐火材料,2001,35(1):43-44. |
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| 作者姓名： | 陈树江 谢安国 陆平鸽 田凤仁 |
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| 作者单位： | 鞍山钢铁学院材料分院,鞍山,114002 |
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| 摘 要： | 利用人工神经网络技术 ,建立BP网络模型 ,通过网络的学习训练 ,能够比较准确地预测影响合成镁钙砂粉化率的因素
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| 关 键 词： | BP神经网络 合成镁钙砂 粉化率 |
| 修稿时间： | 2000年7月28日 |
Application of BP neural network in the research of synthetic magnesia-calcium clinker |
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| Chen Shujiang,Xie Anguo,Lu Pingge,et alAuthor's address:Anshan Institute of Iron and Steel Technology,Anshan?.Application of BP neural network in the research of synthetic magnesia-calcium clinker[J].Refractories,2001,35(1):43-44. |
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| Authors: | Chen Shujiang Xie Anguo Lu Pingge Author's address:Anshan Institute of Iron and Steel Technology Anshan? |
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| Affiliation: | Chen Shujiang,Xie Anguo,Lu Pingge,et alAuthor's address:Anshan Institute of Iron and Steel Technology,Anshan?114002 |
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| Abstract: | In this paper, the model of BP network is established by means of the artificial neural network (ANN) technology. A comparatively accurate prediction about the effect of synthetic magnesia-calcium clinker chalking rate can be obtained through the learning and training function of the network. |
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| Keywords: | BP neural network Synthetic magnesia-calcium clinker Chalking rate |
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