Increasing pattern recognition accuracy for chemical sensing by evolutionary based drift compensation

Pattern Recognition Letters

Volumn 32, Issue 13, 2011, Pages 1594-1603

  Di Carlo, S ^a   Falasconi, M ^b,c   Sanchez, E ^a   Scionti, A ^a   Squillero, G ^a   Tonda, A ^a  

^a POLITECNICO DI TORINO   (Italy)

^b CNR   (Italy)

^c UNIVERSITY OF BRESCIA   (Italy)

Author keywords

Classification systems; Evolutionary strategy; Sensor drift

Indexed keywords

ARTIFICIAL OLFACTION; CHEMICAL SENSING; CLASSIFICATION SYSTEM; CLINICAL DIAGNOSIS; DRIFT COMPENSATION; DRIFT-CORRECTION METHODS; ENVIRONMENTAL MONITORING; EVOLUTIONARY STRATEGIES; HEALTH AND SAFETY; OPTIMAL CORRECTION; PATTERN RECOGNITION METHOD; RAW SENSOR; RECOGNITION ACCURACY; SENSOR DRIFT;

ACCIDENT PREVENTION; CHEMICAL CONTAMINATION; CHEMICAL SENSORS; DIAGNOSIS; EVOLUTIONARY ALGORITHMS; LINEAR TRANSFORMATIONS; MODELS;

PATTERN RECOGNITION SYSTEMS;

EID: 79960210487     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2011.05.019     Document Type: Article

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