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GECCO
2010
Springer

Towards drift correction in chemical sensors using an evolutionary strategy

9 years 4 months ago
Towards drift correction in chemical sensors using an evolutionary strategy
Gas chemical sensors are strongly affected by the so-called drift, i.e., changes in sensors’ response caused by poisoning and aging that may significantly spoil the measures gathered. The paper presents a mechanism able to correct drift, that is: delivering a correct unbiased fingerprint to the end user. The proposed system exploits a state-of-the-art evolutionary strategy to iteratively tweak the coefficients of a linear transformation. The system operates continuously. The optimal correction strategy is learnt without a-priori models or other hypothesis on the behavior of physical-chemical sensors. Experimental results demonstrate the efficacy of the approach on a real problem 1 . Categories and Subject Descriptors I.2 [Computing Methodologies]: Artificial Intelligence; I.5.4 [Computing Methodologies]: Pattern RecognitionApplications General Terms Algorithms Keywords Drift correction, Artificial olfaction, Evolutionary Strategies
Stephano Di Carlo, Ernesto Sánchez, Alberto
Added 19 Jul 2010
Updated 19 Jul 2010
Type Conference
Year 2010
Where GECCO
Authors Stephano Di Carlo, Ernesto Sánchez, Alberto Scionti, Giovanni Squillero, Alberto Paolo Tonda, Matteo Falasconi
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