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

fYear

2009

fDate

21-23 Sept. 2009

Firstpage

27

Lastpage

31

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IDAACS.2009.5343030

Filename

5343030