DocumentCode
286708
Title
A connectionist approach to SDH bandwidth management
Author
Bye, S.J.
Author_Institution
Telecom Australia Res. Lab., Clayton, Vic., Australia
fYear
1993
fDate
25-27 May 1993
Firstpage
286
Lastpage
290
Abstract
In the present paper the application of neural networks to bandwidth management is discussed. Two neural architectures were examined; the radial basis function network, and a Hopfield network. The radial basis function network has been applied to the task of traffic prediction and the Hopfield network used as a linear programming solver. The two networks can be used to assist with the management of bandwidth in a synchronous transmission network, namely a SONET or SDH network
Keywords
Hopfield neural nets; SONET; feedforward neural nets; linear programming; synchronous digital hierarchy; telecommunication network management; telecommunications computing; Hopfield network; SDH bandwidth management; SONET; bandwidth management; connectionist approach; linear programming solver; neural networks; radial basis function network; synchronous transmission network; traffic prediction;
fLanguage
English
Publisher
iet
Conference_Titel
Artificial Neural Networks, 1993., Third International Conference on
Conference_Location
Brighton
Print_ISBN
0-85296-573-7
Type
conf
Filename
263209
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