DocumentCode :
2811939
Title :
A machine learning approach to estimate frequency, duration & availability indexes in complex networks
Author :
Rocco, Claudio M S ; Muselli, Marco
Author_Institution :
Dept. de Investigacion de operaciones, Univ. Central de Venezuela, Caracas, Venezuela
fYear :
2005
fDate :
Jan. 24-27, 2005
Firstpage :
250
Lastpage :
255
Keywords :
Monte Carlo methods; frequency estimation; learning (artificial intelligence); pattern clustering; power engineering computing; reliability; Hamming clustering; Monte Carlo simulation; complex capacity-limited networks; frequency estimation; machine learning algorithm; rule generation methods; Availability; Complex networks; Computer networks; Frequency estimation; Frequency measurement; Intelligent networks; Machine learning; Machine learning algorithms; Pipelines; Telecommunication computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability and Maintainability Symposium, 2005. Proceedings. Annual
ISSN :
0149-144X
Print_ISBN :
0-7803-8824-0
Type :
conf
DOI :
10.1109/RAMS.2005.1408370
Filename :
1408370
Link To Document :
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