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Anomaly detection combining one-class SVMs and particle swarm optimization algorithms

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Publication:623887
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DOI10.1007/S11071-009-9650-5zbMath1204.68173OpenAlexW2038273341MaRDI QIDQ623887

Jiang Tian, Hong Gu

Publication date: 8 February 2011

Published in: Nonlinear Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11071-009-9650-5


zbMATH Keywords

particle swarm optimizationsupport vector machineoutlier detectionone-class classificationanomaly detection


Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Pattern recognition, speech recognition (68T10)


Related Items (1)

Nonlinear generalized predictive control based on online least squares support vector machines




Cites Work

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  • Principal component analysis.
  • A survey of outlier detection methodologies
  • Estimating the Support of a High-Dimensional Distribution
  • Modified support vector novelty detector using training data with outliers




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