| 基于BP神经网络的烧结终点预测模型 |
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| 引用本文： | 谌晓文,邬捷鹏.基于BP神经网络的烧结终点预测模型[J].烧结球团,2006,31(4):21-26. |
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| 作者姓名： | 谌晓文 邬捷鹏 |
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| 作者单位： | 417009,湖南省娄底市,华菱涟源钢铁有限公司总师办 |
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| 摘 要： | 烧结终点是判断烧结过程正常与否的重要标志。我们在为涟钢280m^2烧结机开发的烧结终点（BTP）智能优化控制系统中，采用了基于BP神经网络预测的烧结终点智能控制策略。本文着重介绍了基于BP神经网络的烧结终点预测模型的建立、在线学习及修正，以及试验室调试和在线运行情况。
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| 关 键 词： | 烧结终点(BTP) BP神经网络 预测模型 |
| 收稿时间： | 2006-06-26 |
| 修稿时间： | 2006-06-26 |
BTP FORECAST MODEL BASED ON BP NERVE NET |
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| Shen Xiaowen et al..BTP FORECAST MODEL BASED ON BP NERVE NET[J].Sintering and Pelletizing,2006,31(4):21-26. |
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| Authors: | Shen Xiaowen |
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| Affiliation: | Shen Xiaowen et al. |
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| Abstract: | BTP is an important mark to judge whether sintering process is in normal or not. The BTP forecasting model based on nerve net was developed and was used in the BTP optimize control system of LIANGANG 280 m^2 sintering plant. This article introduces emphatically the establishment, on-line study and correction of BTP forecast model based on BP NN, as well as the running situation both in laboratory and on line. |
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| Keywords: | BTP BP nerve net forecast model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
