Presentation 1994/4/6
ATM Dynamic Routing Control System based on Recurrent Neural Network
Yoshinobu Meifu, Shinmi Hatori,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) ATM network needs to realize new communicationservices in which traffic load charactristics can not be predicted in advance.To get such a flexible system,distributed autonomous agent model which realizes over all target in the process of autonomous and localized resource management in variable environment is preferable.In this paper,new dynamic routing algorethm based on this model are proposed,using recurrent neural network which is located on ATM network node to predict traffic load,smooth it and rearrange virtual path assignment.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Recurrent Neural Network / ATM Dynamic Routing / Traffic Load Prediction and Smoothing / Virtual Path Rearrenge / Distributed Autonomous Agent Model
Paper # SSE94-27,IN94-27
Date of Issue

Conference Information
Committee SSE
Conference Date 1994/4/6(1days)
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Registration To Switching Systems Engineering (SSE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) ATM Dynamic Routing Control System based on Recurrent Neural Network
Sub Title (in English)
Keyword(1) Recurrent Neural Network
Keyword(2) ATM Dynamic Routing
Keyword(3) Traffic Load Prediction and Smoothing
Keyword(4) Virtual Path Rearrenge
Keyword(5) Distributed Autonomous Agent Model
1st Author's Name Yoshinobu Meifu
1st Author's Affiliation Faculty of Engineering,Kanazawa Institute of Technology()
2nd Author's Name Shinmi Hatori
2nd Author's Affiliation Faculty of Engineering,Kanazawa Institute of Technology
Date 1994/4/6
Paper # SSE94-27,IN94-27
Volume (vol) vol.94
Number (no) 2
Page pp.pp.-
#Pages 6
Date of Issue