Equilibrium Points of Single-Layered Neural Networks with Feedback and Applications in the Analysis of Text Documents

Abstract

This report describes a technology of coding of the text documents used within the framework of a working breadboard model of meta-search system developed in ”Bineuro” with context-dependent processing and with classification of search results. The technology of automatic analysis and coding of text documents is based on text corpus representation in the form of an associative semantic network. Code vectors are generated as the equilibrium points of neural network with feedback and with parallel dynamics, such as Hopfild network with an asymmetrical matrix of feedback. These code vectors can be used for tasks of ranging, automatic cluster analysis of documents and in many other tasks connected to automatic post processing of search results by the search engines on the Internet. As an example of application of code vectors we will consider below a task of classification of text documents.