Title :
Approach to neural-based identification of multisensor conversion characteristic
Author :
Turchenko, I. ; Osolinsky, O. ; Kochan, V. ; Sachenko, A. ; Tkachenko, R. ; Svyatnyy, V. ; Komar, M.
Author_Institution :
Res. Inst. of Intell. Comput. Syst., Ternopil Nat. Economic Univ., Ternopil, Ukraine
Abstract :
The neural network based method of individual conversion characteristic identification of multisensor using reduced number of its calibration/testing results is proposed in this paper. The proposed method is based on reconstruction of surface points of multisensor conversion characteristic by modular neural network. Each neural network module reconstructs separate point of the surface. The simulation results show high reconstruction accuracy of the first approximation phase of the method.
Keywords :
calibration; neural nets; sensor fusion; signal reconstruction; approximation phase; calibration result; modular neural network-based method; multisensor conversion characteristic identification; simulation result; surface point reconstruction; testing result; Calibration; Chemical sensors; Computer networks; Data acquisition; Intelligent networks; Neural networks; Sensor phenomena and characterization; Signal processing; Surface reconstruction; Testing; conversion characteristic; multisensor; neural networks;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on
Conference_Location :
Rende
Print_ISBN :
978-1-4244-4901-9
Electronic_ISBN :
978-1-4244-4882-1
DOI :
10.1109/IDAACS.2009.5343030
