Network analysis in a neural learning internet agent

Stefan Wermter, Garen Arevian, Christo Panchev

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

6 Citations (Scopus)

Abstract

In recent years, with the massive increase in the amount of available online information on the Internet, a need has arisen for being able to organize and
access that data in a meaningful and directed way. In this paper, special emphasis is placed on neural net- work approaches in implementing a learning agent for
text routing. A brief summary of the various important approaches used is presented. An approach for neural learning internet agents is outlined, one that uses re- current neural networks for the learning of classifying a textual stream of news information. In particular, we analyze the context of the internal memory and how it
is relevant in making classication decisions.
Original languageEnglish
Title of host publicationProceedings of 4th International Conference on Computational Intelligence and Neuroscience: JCIS 2000, the 5th Joint Conference on Information Sciences
Pages880-884
Number of pages5
Publication statusPublished - 2000
Externally publishedYes
Event4th International Conference on Computational Intelligence and Neuroscience - , United States
Duration: 27 Feb 20003 Mar 2000

Conference

Conference4th International Conference on Computational Intelligence and Neuroscience
Abbreviated titleJCIS 2000
CountryUnited States
Period27/02/003/03/00

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