Electronic nose for black tea quality evaluation by an incremental RBF network

Sensors and Actuators, B: Chemical

Volumn 138, Issue 1, 2009, Pages 90-95

  Tudu, Bipan ^a   Jana, Arun ^b   Metla, Animesh ^a   Ghosh, Devdulal ^b   Bhattacharyya, Nabarun ^b   Bandyopadhyay, Rajib ^a  

^a JADAVPUR UNIVERSITY   (India)

^b CENTRE FOR DEVELOPMENT OF ADVANCED COMPUTING   (India)

Author keywords

Black tea; Electronic nose; Gas sensors; Incremental learning; Incremental RBF neural network

Indexed keywords

ARTIFICIAL ORGANS; CHEMICAL SENSORS; EDUCATION; ELECTRIC NETWORK TOPOLOGY; GAS DETECTORS; LEARNING ALGORITHMS; LEARNING SYSTEMS; PATTERN RECOGNITION; RADIAL BASIS FUNCTION NETWORKS; SENSOR NETWORKS;

BLACK TEA; ELECTRONIC NOSE; GAS SENSORS; INCREMENTAL LEARNING; INCREMENTAL RBF NEURAL NETWORK;

NEURAL NETWORKS;

EID: 63749114257     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2009.02.025     Document Type: Article

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