Paper Title:
Domain-Relied QSOFM and its Application in Deep Web Topic Classification
  Abstract

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, Y. L. Lu, J. H. Liu, "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
$32.00
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