Domain-Relied QSOFM and its Application in Deep Web Topic Classification

Abstract:

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To solve the problem of Deep Web data sources topic classification, this paper proposed a quantum self-organization feature mapping network model(DR-QSOFM)with a classification algorithm. DR-QSOFM combines quantum computation and traditional SOFM, and relies the feature vectors and target vectors incoordinately in different phases of training, making a more centralized distribution of winner neurons in competitive layer and more obvious boundaries among clusters. Some experiments are designed and done on the expanded TEL-8 dataset to test the validity of DR-QSOFM.

Info:

Periodical:

Advanced Materials Research (Volumes 255-260)

Edited by:

Jingying Zhao

Pages:

2067-2071

DOI:

10.4028/www.scientific.net/AMR.255-260.2067

Citation:

L. Zhang et al., "Domain-Relied QSOFM and its Application in Deep Web Topic Classification", Advanced Materials Research, Vols. 255-260, pp. 2067-2071, 2011

Online since:

May 2011

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Price:

$35.00

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