Abstract
The web international is one of the main sources of knowledge. This knowledge can be texts, images, and photos etc. The experts are always looking for the best way to find the exact information and they want to retrieve it as quickly as possible. But, this information is available on different servers in the form of web pages in different languages. Now, we need to find the most efficient technique which can collect and display the web pages which have similar information within a fraction of a second. The only and easy solution is to do this work in automated way. From this automated method we get many systems of knowledge which are called hypertext, or hypermedia. These methods are used in different domains. Many statistical and mathematical techniques are used to group the web pages which have similar information. In this paper we have proposed an Artificial Neural Network based mathematical model to find the similarity between web pages.
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Alarabi, A., Mishra, K.N. (2010). Artificial Neural Network Based Technique Compare with "GA" for Web Page Classification. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14306-9_69
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DOI: https://doi.org/10.1007/978-3-642-14306-9_69
Publisher Name: Springer, Berlin, Heidelberg
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