Total least squares versus RBF neural networks in static calibration of transducers

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn 1, Issue , 1997, Pages 424-427

  Kluk, Piotr ^a   Misiurski, Grzegorz ^a   Morawski, Roman Z ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

LEAST SQUARES APPROXIMATIONS; RADIAL BASIS FUNCTION NETWORKS; ALGORITHMS; CALIBRATION; COMMUNICATION CHANNELS (INFORMATION THEORY); FIBER OPTIC SENSORS; INTERPOLATION; NEURAL NETWORKS;

ACCURACY OF MEASUREMENTS; CUBIC B -SPLINE; MEASUREMENT CHANNELS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK; STATIC CALIBRATION; STATIC CHARACTERISTIC; TOTAL LEAST SQUARES;

CALIBRATION; TRANSDUCERS;

RADIAL BASIS FUNCTION NEURAL NETWORKS; SPLINE INTERPOLATION;

EID: 0030673217     PISSN: 10915281     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IMTC.1997.603985     Document Type: Conference Paper

References (9)

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