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dc.contributor.authorChen, Bingzh_CN
dc.contributor.authorHu, Xueqinzh_CN
dc.contributor.authorWang, Beizhanzh_CN
dc.contributor.authorZheng, Yinhuanzh_CN
dc.contributor.author王备战zh_CN
dc.date.accessioned2015-07-22T02:16:14Z
dc.date.available2015-07-22T02:16:14Z
dc.date.issued2012zh_CN
dc.identifier.citationAdvanced Materials Research, 2012,461:695-701zh_CN
dc.identifier.issn1022-6680zh_CN
dc.identifier.other20120914821800zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/85770
dc.descriptionConference Name:2012 International Conference on Building Materials and Structural Engineering, BMSE2012. Conference Address: Wuhan, China. Time:March 19, 2012 - March 20, 2012.zh_CN
dc.descriptionWuhan Institute of Technology; Beijing Material Research Center; International Material Research Societyzh_CN
dc.description.abstractThis paper proposed a new hybrid spectral clustering algorithm in which Mean Impact Value (MIV) was used in the cost dimension reduction. The processing of system implementation is as follows: first, we used BP neural network to determine the principal items materials, and then applied the spectral clustering algorithm to calculate the principal items price according to principal items materials; finally, principal items ratio estimation method has been used to do cost estimation. This paper took the Xiamen project cost station as the actual case and experimental results shown that this algorithm could meet the cost requirements of project cost station both in time efficiency and accuracy through parameters self-adjusting. 漏 (2012) Trans Tech Publications, Switzerland.zh_CN
dc.language.isoen_USzh_CN
dc.publisherTrans Tech Publicationszh_CN
dc.source.urihttp://dx.doi.org/10.4028/www.scientific.net/AMR.461.695zh_CN
dc.subjectBuilding materialszh_CN
dc.subjectClustering algorithmszh_CN
dc.subjectEstimationzh_CN
dc.subjectNeural networkszh_CN
dc.subjectStructural designzh_CN
dc.titleHybrid spectral clustering algorithm and its application in cost index estimationzh_CN
dc.typeConferencezh_CN


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