An adaptive classification model based on the Artificial Immune System for chemical sensor drift mitigation

Sensors and Actuators, B: Chemical

Volumn 177, Issue , 2013, Pages 1017-1026

  Martinelli, Eugenio ^a   Magna, Gabriele ^a   De Vito, Saverio ^b,d   Di Fuccio, Raffaele ^a   Di Francia, Girolamo ^b   Vergara, Alexander ^c   Di Natale, Corrado ^a  

^a UNIVERSITY OF ROME TOR VERGATA   (Italy)

^b ENEA   (Italy)

^c UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^d UNIVERSITY OF CASSINO AND SOUTHERN LAZIO   (Italy)

Author keywords

Artificial Immune System; Gas sensors; Sensor drift

Indexed keywords

ADAPTIVE CLASSIFICATION; ADAPTIVE CLASSIFIERS; ALGORITHM PROPERTIES; ARTIFICIAL IMMUNE SYSTEM; ARTIFICIAL IMMUNE SYSTEM ALGORITHMS; CLASSIFICATION MODELS; METAL OXIDE GAS SENSORS; MULTIVARIATE STATISTICS; NATURAL IMMUNE SYSTEMS; NON-REPRODUCIBILITY; SENSOR DRIFT; SENSOR SIGNALS; SYNTHETIC AND REAL DATA;

ALGORITHMS; CHEMICAL SENSORS; GAS DETECTORS; PATTERN RECOGNITION;

IMMUNOLOGY;

EID: 84871882849     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2012.11.107     Document Type: Article

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