An on-line reconfigurable classification algorithm improves the long-term stability of gas sensor arrays In case of faulty and drifting sensors

Procedia Engineering

Volumn 120, Issue , 2015, Pages 249-252

  Magna, G ^a   Mosciano, F ^a   Martinelli, E ^a   Di Natale, C ^a  

^a UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

Adaptive classifiers; Fault tolerance; Gas sensors; On line feature selection

Indexed keywords

CHEMICAL SENSORS; CLASSIFICATION (OF INFORMATION); FAULT TOLERANCE; FEATURE EXTRACTION; GAS DETECTORS; IONIZATION OF GASES; SOCIAL NETWORKING (ONLINE);

ADAPTIVE CLASSIFIERS; CLASSIFICATION ALGORITHM; CLASSIFICATION MODELS; DYNAMIC OPTIMIZATION; FAULTY SENSOR; LONG TERM PERFORMANCE; LONG TERM STABILITY; RECONFIGURABLE;

ALGORITHMS;

EID: 84984942574     PISSN: None     EISSN: 18777058     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2015.08.597     Document Type: Conference Paper

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