Title :
Reducing the calibration points of multisensors
Author :
Roshchupkin, Oleksiy ; Smid, Radislav ; Kochan, Volodymyr ; Sachenko, Anatoly
Author_Institution :
Fac. of Comput. Sci., Chernivtsi Nat. Univ., Chernivtsi, Ukraine
Abstract :
Goal of this paper is to develop the method identification of multisensors characteristic curve using neural networks and minimize the number of calibration points required to find an appropriate characteristic curve for the input-to-output relationship of multisensors. A proposed original method illustrates how to improve the prediction accuracy of calibration results for multisensors despite the high level of random error.
Keywords :
calibration; computerised instrumentation; neural nets; sensors; calibration point reduction; multisensor characteristic curve; multisensor input-to-output relationship; neural networks; Accuracy; Biological neural networks; Calibration; Function approximation; Sensors; Training; calibration; characteristic curve; identification; multisensor; neural networks; neural processing;
Conference_Titel :
Systems, Signals and Devices (SSD), 2012 9th International Multi-Conference on
Conference_Location :
Chemnitz
Print_ISBN :
978-1-4673-1590-6
Electronic_ISBN :
978-1-4673-1589-0
DOI :
10.1109/SSD.2012.6197987
