A new evolutionary neural network algorithm based on improved genetic algorithm and its application in power transformer fault diagnosis

2007 2nd International Conference on Bio-Inspired Computing: Theories and Applications, BICTA 2007

Volumn , Issue , 2007, Pages 1-5

  Yan, Taishan ^a   Duwu, Duwu ^a   Yongqing, Tao ^b  

^a XI'AN UNIVERSITY OF TECHNOLOGY   (China)

^b Human institute of technology ^*  (China)

Author keywords

[No Author keywords available]

Indexed keywords

BP ALGORITHM; EVOLUTIONARY NEURAL NETWORK; FAULT DIAGNOSIS MODEL; GLOBAL CONVERGENCE; IMPROVED GENETIC ALGORITHMS; NEURAL NETWORK ALGORITHM; OPTIMAL SOLUTIONS; TRAINING PARAMETERS; TRAINING SAMPLE; TRANSFORMER FAULT DIAGNOSIS; TRANSFORMER FAULTS;

COMPUTATION THEORY; CONVERGENCE OF NUMERICAL METHODS; ELECTRIC INSTRUMENT TRANSFORMERS; GENETIC ALGORITHMS; NEURAL NETWORKS; POWER TRANSFORMERS; TRANSFORMER SUBSTATIONS;

BACKPROPAGATION ALGORITHMS;

EID: 67649201176     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BICTA.2007.4806406     Document Type: Conference Paper

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