| 焙烧过程球团透气性的软测量 |
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| 引用本文： | 杨东伟,陈雪波.焙烧过程球团透气性的软测量[J].系统仿真学报,2001,13(Z1):191-193. |
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| 作者姓名： | 杨东伟 陈雪波 |
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| 作者单位： | 1. 鞍山钢铁学院研究生部,
2. 鞍山钢铁学院电信学院, |
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| 摘 要： | 针对焙烧球团料层透气性软测量二次变量过多的状况,提出了对二次变量"主次分离”的处理方法,该法可降低当二次变量过多时软测量的建模难度.同时提出了一种"松散型模糊神经网络”的建模方法,该法充分利用了模糊技术和神经网络技术的各自优势,得到了较高的测量精度.
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| 关 键 词： | 球团 透气性 软测量 建模 模糊神经网络 |
| 文章编号： | 1004-731X(2001)0A-0191-03 |
| 修稿时间： | 2000年5月13日 |
The Soft-Sensing on Diathermancy of Pellet in Bake Process |
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| YANG Dong-wei,CHEN Xue-bo.The Soft-Sensing on Diathermancy of Pellet in Bake Process[J].Journal of System Simulation,2001,13(Z1):191-193. |
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| Authors: | YANG Dong-wei CHEN Xue-bo |
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| Institution: | YANG Dong-wei1,CHEN Xue-bo2 |
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| Abstract: | Since the status of overmuch secondary variables in process of soft-sensing on diathermancy of pallet, a method of separating primary and secondary variables is put forward. In this way the model-establishment difficulty can be reduced when secondary variable is overmuch. Meanwhile a new model-establishment method of relax fuzzy neural network is used, each virtue of fuzzy technology and neural technology is imposed in this method, and high measure precise can be reached. |
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| Keywords: | pellet diathermancy soft-sensing model-establishment fuzzy neural network |
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