Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/9612
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Title: | Gene expression programming for automatic circuit model identification in impedance spectroscopy: Performance evaluation |
Authors: | Ramos, Pedro M. Janeiro, Fernando M. |
Keywords: | Impedance spectroscopy Impedance measurements Circuit identification Sensor characterization |
Issue Date: | Dec-2013 |
Publisher: | Measurement |
Citation: | Pedro M. Ramos, Fernando M. Janeiro, Gene expression programming for automatic circuit model identification in impedance spectroscopy: Performance evaluation, Measurement, Volume 46, Issue 10, December 2013, Pages 4379-4387, ISSN 0263-2241, http://dx.doi.org/10.1016/j.measurement.2013.05.011. |
Abstract: | Circuit/model identification is applied to impedance spectroscopy when there is no prior
knowledge of the inner workings of the sensor or process under analysis. This paper presents
a performance assessment of gene expression programming for automatic circuit
model identification in impedance spectroscopy. The main objective of this work is to
improve gene expression programming specific implementation details, with pre-embedding
knowledge regarding circuit simplification rules, in order to improve its performance
for circuit identification in impedance spectroscopy. Three different versions of gene
expression programming are presented, discussed and analyzed. Insight is given into the
inner workings of gene expression programming while highlighting the proposed changes
in the three versions. The performance of the improved algorithm is analyzed through
numerical simulated impedance data. It is further validated by the successful application
to measurements of a real sensor along with a study of its performance on measured data. |
URI: | http://hdl.handle.net/10174/9612 |
Type: | article |
Appears in Collections: | FIS - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica CEM - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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