DocumentCode
456316
Title
Modeling of a Capacitive Pressure Sensor using Artificial Neural Networks
Author
Hafiane, M.L. ; Dibi, Z. ; Saidi, L. ; Hafiane, A.
Author_Institution
Lab. d´´Electronique Avancee, Univ. de Batna
Volume
1
fYear
0
fDate
0-0 0
Firstpage
204
Lastpage
209
Abstract
In this paper we present artificial neural networks (ANNs) like a model of a capacitive pressure sensor (CPS) used in a dynamic environment. Indeed, the existing analytical model doesn´t take into account the effect of hysteresis in pressure. The model proposed based on the neural networks accurately expresses the nonlinear character of the response, the dependence in temperature in addition to the effect of hysteresis. The ANN model thus obtained was implemented on SPICE simulator
Keywords
SPICE; capacitive sensors; neural nets; pressure sensors; ANN model; SPICE simulator; artificial neural network; capacitive pressure sensor; pressure hysteresis; Analytical models; Artificial neural networks; Capacitance; Capacitive sensors; Equations; Hysteresis; Linearity; SPICE; Temperature dependence; Temperature sensors; Artificial Neural Networks; Capacitive Pressure Sensor (CPS); Hysteresis; Multilayer Perceptron; SPICE;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location
Damascus
Print_ISBN
0-7803-9521-2
Type
conf
DOI
10.1109/ICTTA.2006.1684371
Filename
1684371
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