APPLICATION OF A KOHONEN NEURAL NETWORK FOR WEB PAGES CLASSIFICATION BY THE INFORMATION RETRIEVAL SYSTEM
This article describes the implementation of a software module that is able to organize vast document collections according to textual similarities. It is based on the self-organizing map (SOM) algorithm. The main goal of the work has been to evaluate advantages and disadvantages of Kohonen’s neural network implementation in the search engine of information retrieval system.