Title :
Simulation Modeling of Neural-Based Method of Multi-Sensor Output Signal Recognition
Author :
Turchenko, I. ; Kochan, V. ; Sachenko, A. ; Kochan, R. ; Stepanenko, A. ; Daponte, P. ; Grimaldi, D.
Author_Institution :
Res. Inst. of Intelligent Comput. Syst., Ternopil Acad. of Nat. Economy
Abstract :
The possibility of artificial neural network usage for recognition of a signal of a multiparameter 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 multiparameter sensor signal recognition using MATLAB software are presented in the end of this paper
Keywords :
neural nets; sensor fusion; signal detection; MATLAB software; artificial neural network; multiparameter sensor; multisensor output signal recognition; Algorithm design and analysis; Computational modeling; Gas industry; Instrumentation and measurement; Machine learning algorithms; Mathematical model; Multi-layer neural network; Neural networks; Pollution measurement; Sensor phenomena and characterization; multi-parameter sensor; neural networks; recognition;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2006.328653
