DocumentCode
2263588
Title
Potential applications of neural networks in network management
Author
Erfani, S. ; Malek, M.
Author_Institution
AT&T Bell Labs., Middletown, NJ, USA
fYear
1993
fDate
16-18 Aug 1993
Firstpage
257
Abstract
The complexity and diversity of the emerging intelligent networks demand experimentation with new methods for their management. The advent of neural networks revive the concept of analog computing, and present new opportunities for solving a variety of pattern recognition, optimization, and adaptive control problems encountered in network management. This paper explores potential applications and benefits of using neural networks in telecommunication network management. We provide a brief description of the proposed neural network model, and identify potential areas that could benefit from neural network solutions
Keywords
adaptive control; neural nets; optimisation; pattern recognition; telecommunication control; telecommunication network management; adaptive control problems; analog computing; intelligent networks; neural network model; neural network solutions; neural networks; optimization; pattern recognition; telecommunication network management; Artificial neural networks; Biological system modeling; Computer network management; Computer networks; Intelligent networks; Neural networks; Neurons; Power system management; Power system modeling; Telecommunication network management;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location
Detroit, MI
Print_ISBN
0-7803-1760-2
Type
conf
DOI
10.1109/MWSCAS.1993.343081
Filename
343081
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