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 |
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Committee | SSE |
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Conference Date | 1994/4/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Switching Systems Engineering (SSE) |
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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 |