DocumentCode
3232275
Title
A genetic algorithm for construction of recognizers of anomalies in behaviour of dynamical systems
Author
Kovalenko, Dmitry S. ; Kostenko, Valery A.
Author_Institution
Fac. of Comput. Math. & Cybern., Lomonosov Moscow State Univ., Lomonosov, Russia
fYear
2010
fDate
23-26 Sept. 2010
Firstpage
258
Lastpage
262
Abstract
In this paper, the problem of automatic construction of recognizers of anomalies in behaviour of complicated dynamical systems is considered. Information about system behaviour is available in a form of multidimensional trajectories (time-series) obtained from sensors surrounding the system. A specific feature of the problem consists in the fact that, depending on the individual properties of the system and conditions of its operation, trajectories that contain anomalies may significantly differ from each other in amplitude and length. The genetic algorithm described here allows to construct recognizers of abnormal behaviour of complicated dynamical systems.
Keywords
genetic algorithms; pattern recognition; anomalies recognizer; complicated dynamical system; genetic algorithm; sensor; Data mining; Irrigation; algebraic approach; dynamical system; genetic algorithm; machine learning; recognition algorithm; training set;
fLanguage
English
Publisher
ieee
Conference_Titel
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-6437-1
Type
conf
DOI
10.1109/BICTA.2010.5645318
Filename
5645318
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