using som neural network in text information retrieval

نویسندگان

j. mehrad ph.d., president of rlst

s. koleini m.s., head, dept. of information technology, rlst

چکیده

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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عنوان ژورنال:
international journal of information science and management

جلد ۵، شماره ۱، صفحات ۵۳-۶۴

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