Web Pages Retrieval with Adaptive Neuro Fuzzy System based on Content and Structure

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Mohammad Saber Iraji 1,* Hakimeh Maghamnia 2 Marzieh Iraji 3

1. Faculty Member of Department of Computer Engineering and Information Technology, Payame Noor University, I.R. of Iran

2. Department of Computer Engineering and Information Technology, Payame Noor University, I.R. of Iran

3. Department of Computer Engineering and Information Technology, University College of Rouzbahan, Sari, Iran

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2015.08.08

Received: 16 May 2015 / Revised: 20 Jun. 2015 / Accepted: 12 Jul. 2015 / Published: 8 Aug. 2015

Index Terms

Web pages retrieval, adaptive neuro fuzzy, search engines


Volume of web pages and information on the web is constantly increasing. In this paper, we presented a system to retrieve pages relevant to a query, that can be used by the search engines. The design of our proposed system, content, Page content of neighbors, Connectivity (link analysis) features were used and the methods of fuzzy Sugeno and adaptive fuzzy neural network methods considered .Results showed that the neural method, the error is less than other methods, in the retrieval of web pages tailored to the users search query on the Web, can increase the efficiency of search engines.

Cite This Paper

Mohammad Saber Iraji, Hakimeh Maghamnia, Marzieh Iraji, "Web Pages Retrieval with Adaptive Neuro Fuzzy System based on Content and Structure", International Journal of Modern Education and Computer Science (IJMECS), vol.7, no.8, pp.69-84, 2015. DOI:10.5815/ijmecs.2015.08.08


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