A radial basis function neural network classifier for the discrimination of individual odor using responses of thick-film tin-oxide sensors

IEEE Sensors Journal

Volumn 9, Issue 10, 2009, Pages 1254-1261

  Kumar, Ravi ^a   Das, R R ^a   Mishra, V N ^a   Dwivedi, R ^a  

^a BANARAS HINDU UNIVERSITY   (India)

Author keywords

Algorithm; Microsensors; Neural networks; Pattern classification

Indexed keywords

ALCOHOLIC BEVERAGES; BACKPROPAGATION NETWORK; BP ALGORITHM; CLASSIFICATION PERFORMANCE; CONVENTIONAL MODELS; LEARNING PARAMETERS; NEW MODEL; PATTERN CLASSIFICATION; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NETWORK; TIN OXIDE SENSORS;

ATTITUDE CONTROL; BACKPROPAGATION ALGORITHMS; BEVERAGES; CLASSIFIERS; CLUSTER ANALYSIS; MATHEMATICAL MODELS; MICROSENSORS; NANOSENSORS; ODORS; RADIAL BASIS FUNCTION NETWORKS; SENSOR ARRAYS; THICK FILMS; TIN; TIN OXIDES;

NEURAL NETWORKS;

EID: 77954581025     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2009.2030072     Document Type: Article

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