Recognition of explosive precursors using nanowire sensor array and decision tree learning

IEEE Sensors Journal

Volumn 12, Issue 7, 2012, Pages 2384-2391

  Cho, Junghwan ^a   Li, Xiaopeng ^a   Gu, Zhiyong ^a   Kurup, Pradeep U ^a  

^a University of Massachusetts   (United States)

Author keywords

Classification; classification and regression tree (CART); concentration estimation; explosive precursors; fuzzy inference system; nanowire sensor array

Indexed keywords

CLASSIFICATION AND REGRESSION TREE; CONCENTRATION ESTIMATOR; CONCENTRATION LEVELS; DECISION TREE LEARNING; DECISION TREE LEARNING ALGORITHM; ERROR RATE; FUZZY INFERENCE SYSTEMS; NANOWIRE SENSOR ARRAY; NITROTOLUENE; NOVEL PATTERNS; RECOGNITION RATES; STRUCTURE IDENTIFICATION; TESTING RESULTS; TIN OXIDE SENSORS;

ACETONE; CLASSIFICATION (OF INFORMATION); DECISION TREES; EXPLOSIVES; FUZZY SYSTEMS; LEARNING ALGORITHMS; NANOSENSORS; PATTERN RECOGNITION; PLATINUM; TIN; TIN OXIDES; TREES (MATHEMATICS);

ESTIMATION;

EID: 84861849681     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2011.2182042     Document Type: Article

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