DocumentCode :
351279
Title :
Sensors signal processing using neural networks
Author :
Golovko, V. ; Grandinetti, L. ; Kochan, V. ; Laopoulos, T. ; Sachenko, A. ; Turchenko, V.
Author_Institution :
Brest Polytech. Inst., Byelorussia
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
339
Abstract :
The authors proposed to use neural networks (single- and multi-layer perceptrons) for the prediction of measurement channel components (including sensors). This allows one to improve the processing quality of measurement information and the design of intelligent sensing instrumentation systems. The hardware and software of such systems, computer power distribution and processing algorithms are considered
Keywords :
array signal processing; computerised instrumentation; intelligent sensors; perceptrons; computer power distribution algorithm; computer processing algorithm; intelligent sensing instrumentation systems; measurement channel components prediction; measurement information processing; multi-layer perceptrons; neural networks; sensors signal processing; single-layer perceptrons; systems hardware; systems software; Distributed computing; Hardware; Instruments; Intelligent sensors; Intelligent systems; Multi-layer neural network; Multilayer perceptrons; Neural networks; Signal processing; Software systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Africon, 1999 IEEE
Conference_Location :
Cape Town
Print_ISBN :
0-7803-5546-6
Type :
conf
DOI :
10.1109/AFRCON.1999.820846
Filename :
820846
Link To Document :
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