The use of some paradigms of neural networks in prediction of dielectric properties for high voltage liquid solid and gas insulations

Conference Record of IEEE International Symposium on Electrical Insulation

Volumn , Issue , 2002, Pages 306-309

  Mokhnache, L ^a   Boubakeur, A ^b  

^a UNIVERSITY OF BATNA   (Algeria)

^b Ecole Nationale Polytechnique   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGING OF MATERIALS; ALGORITHMS; BACKPROPAGATION; ELECTRIC BREAKDOWN; ELECTRIC INSULATION; OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS; THERMAL STRESS;

BATCH LEARNING TECHNIQUE; RADIAL BASIS FUNCTION GAUSSIAN NETWORK; RANDOM OPTIMIZATION METHOD; THERMAL AGING STRESS;

DIELECTRIC PROPERTIES;

EID: 0036072630     PISSN: 01642006     EISSN: None     Source Type: Journal    
DOI: 10.1109/ELINSL.2002.995937     Document Type: Article

References (6)

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6. Application of neural networks paradigms in the diagnosis and thermal ageing prediction of transformer oil