| 基于改进模糊ART神经网络的连铸漏钢预报模型 |
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| 引用本文： | 贺智勇,李林,刘开琪.基于改进模糊ART神经网络的连铸漏钢预报模型[J].中国冶金,2007,17(10):1-1. |
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| 作者姓名： | 贺智勇 李林 刘开琪 |
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| 作者单位： | 东北大学材料与冶金学院，辽宁 沈阳 110004 |
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| 摘 要： | 在模糊ART神经网络的基础上，有机结合模糊模式识别和模糊聚类算法，并通过引入新的学习机制和优化网络结构，建立了改进的新型模糊ART神经网络模型；同时，结合某钢厂连铸现场采集的历史数据，将该模型应用于连铸漏钢预报过程中。其结果表明，该模型对粘结漏钢过程中2种典型温度模式的预报率分别达到956%和978%，报出率都达到100%，且在避免漏报的同时保证了较低的误报率，能准确识别典型的温度模式和预测拉漏事故的发生。
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| 关 键 词： | 连铸 漏钢预报 模糊神经网络 模糊聚类 |
| 文章编号： | 1006-9356（2007）10-0001-03 |
| 收稿时间： | 2007-07-23 |
Development of Materials for Submerged Nozzle and Technology of Anti-Clogging in China |
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| HE Zhi-yong,LI Lin,LIU Kai-qi.Development of Materials for Submerged Nozzle and Technology of Anti-Clogging in China[J].China Metallurgy,2007,17(10):1-1. |
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| Authors: | HE Zhi-yong LI Lin LIU Kai-qi |
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| Affiliation: | School of Materials and Metallurgy, Northeastern University, Shenyang 110004, Liaoning, China |
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| Abstract: | Development of materials for submerged nozzle was introduced. The characteristics of fused-quartz, Al2 O3-C and compounded submerged nozzle was discussed. The clogging mechanism of submerged nozzle and development of anti-clogging technology were analyzed. |
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| Keywords: | submerged nozzle materials anti-clogging development |
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