Recognition of MPS Output Signal Described by Different Mathematical Models

Author

Turchenko, Iryna ; Kochan, Volodymyr ; Sachenko, Anatoly

Author_Institution

Res. Inst. of Intell. Comput. Syst., Ternopil Acad. of Nat. Econ., Ternopil

fYear

2005

fDate

5-7 Sept. 2005

Firstpage

89

Lastpage

94

Abstract

The possibility of artificial neural network usage for recognition of a signal of a multi-parameter sensor (MPS), described by different mathematical models, is described in this paper. These mathematical models are developed for the cases, when MPS conversion characteristics have positive derivatives, negative derivatives and derivatives of different sign at similar and opposite increasing of MPS output signal. The model of neural network, used for recognition, as well as achieved results of simulation modeling of a multi-parameter sensor signal recognition using MATLAB software are presented in the end of this paper.

Keywords

neural nets; sensors; signal processing; MATLAB software; MPS output signal recognition; artificial neural network; mathematical model; multiparameter sensor; Chemical analysis; Computer networks; Data acquisition; Intelligent networks; Machine learning algorithms; Mathematical model; Multi-layer neural network; Neural networks; Sensor arrays; Sensor phenomena and characterization; multi-parameter sensor; neural networks; recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE

Conference_Location

Sofia

Print_ISBN

0-7803-9445-3

Electronic_ISBN

0-7803-9446-1

Type

conf

DOI

10.1109/IDAACS.2005.282947

Filename

4062098