| 应用基于粗集的模糊神经网络进行软测量建模的研究 |
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| 引用本文： | 罗健旭,张兆宁,邵惠鹤.应用基于粗集的模糊神经网络进行软测量建模的研究[J].化工自动化及仪表,2003,30(2):14-18. |
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| 作者姓名： | 罗健旭 张兆宁 邵惠鹤 |
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| 作者单位： | 1. 上海交通大学,自动化系,上海,200030
2. 上海交通大学,电气工程系,上海,200030 |
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| 基金项目： | 十五 8 63项目资助 ( 2 0 0 1AA413 13 0 ) |
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| 摘 要： | 提出将软测量建模与数据挖掘方法相结合的思想。针对模糊神经网络输入维数高，且对应的神经网络是权值不完全连接的网络，结构简单、训练速度快。将该方法用于催化裂化装置的轻柴油凝点的估计，取得良好的效果。
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| 关 键 词： | 应用 粗集 模糊神经网络 软测量 建模 研究 催化裂化装置 轻柴油 凝点 |
| 文章编号： | 1000-3932(2003)(03)-0014-05 |
| 修稿时间： | 2002年7月21日 |
Study of Using Fuzzy Neural Network to Build Soft Sensor Model Based on Rough Set |
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| LUO Jian xu ,ZHANG Zhao ning ,SHAO Hui he.Study of Using Fuzzy Neural Network to Build Soft Sensor Model Based on Rough Set[J].Control and Instruments In Chemical Industry,2003,30(2):14-18. |
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| Authors: | LUO Jian xu ZHANG Zhao ning SHAO Hui he |
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| Affiliation: | LUO Jian xu 1,ZHANG Zhao ning 2,SHAO Hui he 1 |
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| Abstract: | This paper contributed to develop soft sensor models combining the theory and methodology of date mining technology.Rough set theory is used to obtain the reductive rules,which are used as the fuzzy rules of the fuzzy system.then the fuzzy system is represented via an equivalent artificial neural network(ANN).Because the initial parameter of the ANN is reasonable,the convergence of the ANN training is fast,and since the rules are reduced,the structure size of the ANN becomes small.The neurofuzzy approach based on RST is used to build a soft sensor model for estimating the freezing point of the light diesel fuel in Fluid Catalytic Cracking Unit(FCCU). |
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| Keywords: | rough set rule extraction fuzzy neural network soft sensor |
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