Sensors signal processing using neural networks
Vladimir A. Golovko, Lucio Grandinetti, Volodymyr Kochan, Theodore Laopoulos, Anatoliy Sachenko, Volodymyr Turchenko · 1999
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.