PSO & neural-network based signature recognition for harmonic source identification

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volumn , Issue , 2009, Pages

  Srivastava, S ^a   Gupta, J R P ^a   Gupta, M ^b  

^a NETAJI SUBHAS INSTITUTE OF TECHNOLOGY   (India)

^b MAHARAJA AGRASEN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Component; Formatting; Insert; Style; Styling

Indexed keywords

COMPARATIVE STUDIES; CROSSOVER AND MUTATION; EVOLUTION OPERATOR; GRADIENT DESCENT; HARMONIC SOURCES; HYBRID ALGORITHMS; INPUT CURRENT; OPTIMIZERS; PARTICLE SWARM OPTIMIZATION METHOD; QUALITY MONITORING; SIGNATURE RECOGNITION; SIMULATION RESULT; STOCHASTIC OPTIMIZATION TECHNIQUES; TRAINING ALGORITHMS;

FEATURE EXTRACTION; GENETIC ALGORITHMS; MATHEMATICAL OPERATORS; NEURAL NETWORKS; OPTICAL COMMUNICATION;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77951100982     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TENCON.2009.5396064     Document Type: Conference Paper

References (15)

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