Fuzzy intelligent hybrid system application to routing control in telecommunication networks

A. Kandel, G. Langholz, M. Schneider

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The authors propose an intelligent hybrid system architecture for real-time routing control in multipriority telecommunication networks. The intelligent hybrid system (IHS) architecture integrates the computational paradigms of an expert system and a neural network. The expert system component of IHS is a fuzzy expert system that allows for uncertainty management. The learning capability of the system is provided by the integrated neural network. The transfer of knowledge between the fuzzy expert system and the neural network is bidirectional so that the neural network is used to acquire new knowledge from the environment whereas the fuzzy expert system makes use of knowledge it had already acquired. Therefore, the fuzzy expert system relieves the neural network from learning things already known.

Original languageEnglish
Title of host publicationProceedings - 2nd International Symposium on Uncertainty Modeling and Analysis, ISUMA 1993
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages281-285
Number of pages5
ISBN (Electronic)0818638508, 9780818638503
DOIs
StatePublished - 1993
Event2nd International Symposium on Uncertainty Modeling and Analysis, ISUMA 1993 - College Park, United States
Duration: 25 Apr 199328 Apr 1993

Publication series

NameProceedings - 2nd International Symposium on Uncertainty Modeling and Analysis, ISUMA 1993

Conference

Conference2nd International Symposium on Uncertainty Modeling and Analysis, ISUMA 1993
Country/TerritoryUnited States
CityCollege Park
Period25/04/9328/04/93

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