Title :
Simulation modeling of multi-parameter sensor signal identification using neural networks
Author :
Turchenko, Iryna V.
Author_Institution :
Inst. of Comput. Inf. Tecnologies, Ternopil Acad. of Nat. Economy, Ukraine
Abstract :
In this study it is described the possibility of artificial neural network usage for recognition of a signal of multi-parameter sensor. There is denoted general structure of data acquisition channel with usage of neural networks as well as mathematical model of output signal of multi-parameter sensor. The model of neural network, training algorithm and achieved results of the simulation modeling of multi-parameter sensor signal recognition using MATLAB software are presented in the end of this paper.
Keywords :
digital simulation; modelling; neural nets; sensors; signal detection; MATLAB software; artificial neural network; data acquisition channel; mathematical model; multiparameter sensor; neural networks; sensor signal identification; sensor signal recognition; simulation modeling; training algorithm; Artificial neural networks; Biological system modeling; Computational modeling; Data acquisition; Equations; Gases; Information technology; Neural networks; Pollution measurement; Signal processing;
Conference_Titel :
Intelligent Systems, 2004. Proceedings. 2004 2nd International IEEE Conference
Print_ISBN :
0-7803-8278-1
DOI :
10.1109/IS.2004.1344850
