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Volumn , Issue , 2006, Pages 862-865
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Committee machine with over 95% classification accuracy for combustible gas identification
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Author keywords
Committee machine; Gas identification; Pattern recognition; Tin oxide gas sensor
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Indexed keywords
ALGORITHMS;
CHEMICAL SENSORS;
CLASSIFICATION (OF INFORMATION);
CLASSIFIERS;
COMPUTER VISION;
DATA ACQUISITION;
DETECTORS;
FEATURE EXTRACTION;
FEEDFORWARD NEURAL NETWORKS;
IMAGE SEGMENTATION;
LEARNING SYSTEMS;
NEURAL NETWORKS;
PATTERN RECOGNITION;
PATTERN RECOGNITION SYSTEMS;
RADIAL BASIS FUNCTION NETWORKS;
SENSORS;
TIN;
TITANIUM COMPOUNDS;
CLASSIFICATION ACCURACIES;
COMBINATION RULES;
COMBUSTIBLE GASES;
COMMITTEE MACHINES;
DATA ACQUISITION (DAQ) SYSTEMS;
DATA SETS;
GAS IDENTIFICATION;
GAUSSIAN MIXTURE MODEL (GMM);
INDIVIDUAL CLASSIFIERS;
INTERNATIONAL CONFERENCES;
K-NEAREST NEIGHBORS (KNN);
MULTI LAYER PERCEPTRON (MLP);
OXIDE GAS;
RADIAL-BASIS FUNCTION (RBF);
REAL GASES;
RECOGNITION SYSTEMS;
GASES;
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EID: 36849058936
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ICECS.2006.379925 Document Type: Conference Paper |
Times cited : (4)
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References (9)
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