| 基于化工过程预报的最优化模糊系统 |
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| 引用本文： | 刘彦忠,张宏烈,刘艳菊.基于化工过程预报的最优化模糊系统[J].齐齐哈尔大学学报(自然科学版),2005,21(3):47-49. |
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| 作者姓名： | 刘彦忠 张宏烈 刘艳菊 |
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| 作者单位： | 齐齐哈尔大学计算机与控制学院,齐齐哈尔,161006 |
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| 基金项目： | 齐齐哈尔市科学技术计划项目（04G17） |
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| 摘 要： | 本文主要以化工过程预报为研究目标,提出了最优模糊聚类神经网络系统模型（FCNNS）.该模型有下列突出优点：数据首先利用模糊聚类算法对原始数据进行提取优化,然后将优化数据送入模糊系统进行学习产生模糊规则;优化规则数和优化隶属函数的参数,最终达到模糊聚类神经网络系统模型的最优化.该模型不但可以缩短规则生成的时间,有效的防止了规则数爆炸,而且在化工过程预报的应用中获得理想的结果.
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| 关 键 词： | 模糊神经网络 模糊聚类 数据筛选 模糊规则 |
| 文章编号： | 1007-984X(2005)03-0047-03 |
| 收稿时间： | 2005-05-20 |
| 修稿时间： | 2005年5月20日 |
The most superior fuzzy system based on forecast of chemical process |
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| LIU Yan-zhong,ZHONG Hong-lie,LIU Yan-ju.The most superior fuzzy system based on forecast of chemical process[J].Journal of Qiqihar University(Natural Science Edition),2005,21(3):47-49. |
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| Authors: | LIU Yan-zhong ZHONG Hong-lie LIU Yan-ju |
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| Institution: | Computer and Control Department,Qiqihar University, Qiqihar 161006 |
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| Abstract: | In this paper, we have proposed the most superior fuzzy dusting neural network system model in order to forecast of chemical process. The model has the following salient features:1) typical datum were bolted from source datum by dusting algorithm, and these typical datum were put to fuzzy system studying and making rules.2)the number of rules is compacted and parameters of membership function are updated. The model not only reduce the time of making rules, avoid exploding the number of rule but also make correct result in forecast of chemical process. |
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| Keywords: | fuzzy neural network fuzzy clusting data bolting fuzzy rule |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
