A comparative evaluation of neural classification techniques for identifying multiple fault conditions

Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2001

Volumn , Issue , 2001, Pages 16-20

  Hoffman, A J ^a   Van Der Merwe, N T ^a   Stander, C ^b   Heyns, S P ^b  

^a NORTH WEST UNIVERSITY   (South Africa)

^b UNIVERSITY OF PRETORIA   (South Africa)

Author keywords

Classifiers; Multiple fault conditions; Neural networks; Radial basis function; Self organising maps; Vibrational features

Indexed keywords

CLASSIFIERS; DATA ACQUISITION; FUNCTIONS; NEURAL NETWORKS; SELF ORGANIZING MAPS;

COMPARATIVE EVALUATIONS; MULTI LAYER PERCEPTRON; MULTIPLE FAULTS; NEURAL CLASSIFICATION; RADIAL BASIS FUNCTION(RBF); RADIAL BASIS FUNCTIONS; RELIABLE ASSESSMENT; VIBRATIONAL FEATURES;

RADIAL BASIS FUNCTION NETWORKS;

EID: 84952663930     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IDAACS.2001.941970     Document Type: Conference Paper

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