基于多聚类模糊神经网络的信息融合模型研究

Tie-jun Zhang, Duo Chen, Xiaoyue Liu
{"title":"基于多聚类模糊神经网络的信息融合模型研究","authors":"Tie-jun Zhang, Duo Chen, Xiaoyue Liu","doi":"10.1109/KAM.2010.5646251","DOIUrl":null,"url":null,"abstract":"Aiming at modeling of the complex and large industrial process, this paper proposes the multi-clustering based on the fusion of hierarchical clustering algorithm of field potential topology and fuzzy c-means clustering, on which the structure of fuzzy neural network model is determined. According to the membership degree calculated, the fuzzy neural network model has been configured based on the multi criteria information fusion and fuzzy technology. Simulation results verify the validity of the model, which has some reference value and significance on the coal mining.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on information fusion model based on multi-clustering fuzzy neural networks\",\"authors\":\"Tie-jun Zhang, Duo Chen, Xiaoyue Liu\",\"doi\":\"10.1109/KAM.2010.5646251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at modeling of the complex and large industrial process, this paper proposes the multi-clustering based on the fusion of hierarchical clustering algorithm of field potential topology and fuzzy c-means clustering, on which the structure of fuzzy neural network model is determined. According to the membership degree calculated, the fuzzy neural network model has been configured based on the multi criteria information fusion and fuzzy technology. Simulation results verify the validity of the model, which has some reference value and significance on the coal mining.\",\"PeriodicalId\":160788,\"journal\":{\"name\":\"2010 Third International Symposium on Knowledge Acquisition and Modeling\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Symposium on Knowledge Acquisition and Modeling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KAM.2010.5646251\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Symposium on Knowledge Acquisition and Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KAM.2010.5646251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

针对复杂大型工业过程建模,提出了基于场势拓扑分层聚类算法与模糊c均值聚类融合的多聚类方法,并在此基础上确定了模糊神经网络模型的结构。根据计算出的隶属度,基于多准则信息融合和模糊技术配置了模糊神经网络模型。仿真结果验证了模型的有效性,对煤矿开采具有一定的参考价值和意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on information fusion model based on multi-clustering fuzzy neural networks
Aiming at modeling of the complex and large industrial process, this paper proposes the multi-clustering based on the fusion of hierarchical clustering algorithm of field potential topology and fuzzy c-means clustering, on which the structure of fuzzy neural network model is determined. According to the membership degree calculated, the fuzzy neural network model has been configured based on the multi criteria information fusion and fuzzy technology. Simulation results verify the validity of the model, which has some reference value and significance on the coal mining.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信