Paper Info
Title
Gene Expression Programming in Sensor Characterization: Numerical Results and Experimental Validation
Abstract
In this paper, impedance spectroscopy, gene expression programming (GEP), and genetic algorithms are combined to perform sensor characterization. The process presented is useful when there is no knowledge of the sensor equivalent circuit, and a set of impedance responses can be obtained for different measurand values. These responses are used by the algorithm to determine a suitable equivalent circuit and choose a circuit component that describes the measurand values. From this component, interpolation is used to infer the measurand value from the measured frequency responses. Improvements on the application of GEP to impedance characterization are presented. The method is validated through its application to numerical results of a humidity sensor and measurement results of a viscosity sensor.
Year
DOI
Venue
2013
10.1109/TIM.2012.2224275
Instrumentation and Measurement, IEEE Transactions
Keywords
Field
DocType
equivalent circuits,genetic algorithms,sensors,spectroscopy,gene expression programming,genetic algorithms,humidity sensor,impedance spectroscopy,sensor characterization,sensor equivalent circuit,viscosity sensor,Evolutionary algorithms,gene expression programming (GEP),genetic algorithms (GAs),impedance spectroscopy (IS),sensor characterization
Gene expression programming,Interpolation,Control engineering,Viscosity,Electrical impedance,Electronic engineering,Dielectric spectroscopy,Genetic algorithm,Equivalent circuit,Mathematics
Journal
Volume
Issue
ISSN
62
5
0018-9456
Citations 
PageRank 
References 
4
0.75
2
Authors
3
Name
Order
Citations
PageRank
Fernando M. Janeiro1476.74
Jose Santos241.09
Pedro M. Ramos311517.91