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