DocumentCode
554036
Title
Nonlinear compensation of capacitance weighing sensors based on Neural Networks with Orthonormal Functions
Author
Li-ying Xu ; Li-Jun Li
Author_Institution
Changsha Univ. of Sci. & Technol., Changsha, China
Volume
2
fYear
2011
fDate
26-28 July 2011
Firstpage
795
Lastpage
798
Abstract
The relationship between output voltage and the loading of the capacitance weighing sensor is nonlinear. To obtain accurate measurement, it is necessary to compensate the nonlinearity. A nonlinear compensation method based on Neural Networks with Orthonormal Functions is proposed in this paper. The convergence of the neural network algorithm is researched. The result shows that the method proposed has high accurate. Therefore, the method proposed is effective and may be used for other applications.
Keywords
capacitance measurement; capacitive sensors; computerised instrumentation; neural nets; accurate measurement; neural network algorithm; nonlinear capacitance weighing sensors compensation; orthonormal functions; Biological neural networks; Capacitance; Capacitive sensors; Convergence; Neurons; Sensor phenomena and characterization; Orthonormal Functions; capacitance weighing sensor; neural network; nonlinear compensation;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022165
Filename
6022165
Link To Document