DocumentCode :
1106021
Title :
Real-time operational aspects of Hopfield neural network based dynamic channel allocation scheme
Author :
Lazaro, O. ; Girma, D.
Author_Institution :
Mobile Commun. Group, Univ. Politecnica de Valencia, Valencia, Spain
Volume :
40
Issue :
18
fYear :
2004
Firstpage :
1141
Lastpage :
1143
Abstract :
Highlighted are operational issues of software-based Hopfield neural network DCA schemes under real-time constraints. In particular, parameter tuning necessitated by rapid convergence of iterative solutions is considered with performance evaluation based on a simulation model.
Keywords :
Hopfield neural nets; channel allocation; convergence of numerical methods; iterative methods; statistical analysis; telecommunication computing; tuning; dynamic channel allocation; iterative solutions; parameter tuning; performance evaluation; rapid convergence; real-time constraints; simulation model; software based Hopfield neural network; statistical analysis; telecommunication computing;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:20040590
Filename :
1335023
Link To Document :
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