Title :
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
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;
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
DOI :
10.1109/IDAACS.2005.282947
