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文章基本信息

  • 标题:Using SOM Neural Network in Text Information Retrieval
  • 本地全文:下载
  • 作者:J. Mehrad ; S. Koleini
  • 期刊名称:International Journal of Information Science and Management (IJISM)
  • 印刷版ISSN:2008-8302
  • 电子版ISSN:2008-8310
  • 出版年度:2012
  • 卷号:5
  • 期号:1
  • 页码:53-64
  • 语种:English
  • 出版社:REGIONAL INFORMATION CENTER FOR SCIENCE AND TECHNOLOGY
  • 其他摘要:With the increase of the volume of information and the progress in technology, the deficiency of traditional algorithms for fast information retrieval becomes more clear. When large volumes of data are to be handled, the use of neural network as an Artificial Intelligent technique is a suitable method to increase the information retrieval speed. Neural networks present a suitable representation of knowledge in retrieval applications. The nodes in neural network, present the items of information retrieval such as keywords, authors,… and links are used for data transfer between layers. Finally, it results in a network output that is a retrieval document. In this article, the use of SOM neural network for data clustering is shown. A model of SOM neural network for a sample information retrieval from INIS database is implemented.
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