Hybrid QPSO based wavelet neural networks for network anomaly detection

Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007

Volumn , Issue , 2007, Pages 442-447

  Ruhui, Ma ^a   Yuan, Liu ^a   Xing, Lin ^a  

^a JIANGNAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CIRCUIT THEORY; CONJUGATE GRADIENT METHOD; DIGITAL ARITHMETIC; EVOLUTIONARY ALGORITHMS; INTRUSION DETECTION; MUSEUMS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); POWER TRANSFORMERS; VEGETATION;

BEST POSITION; CONJUGATE GRADIENT ALGORITHMS; DATA-SETS; DIGITAL MEDIA; FALSE POSITIVE RATE; FAST CONVERGENCE; GLOBAL OPTIMUM; HIGH DETECTION RATE; HYBRID ALGORITHM; MULTI-DIMENSIONAL SPACES; NETWORK ANOMALY DETECTION; OPTIMIZATION ALGORITHMS; QUANTUM-BEHAVED PARTICLE SWARM OPTIMIZATION; WAVELET NEURAL NETWORK; WAVELET NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 48349123034     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DMAMH.2007.4414595     Document Type: Conference Paper

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