Recognition of volatile organic compounds using SnO2 sensor array and pattern recognition analysis

Sensors and Actuators, B: Chemical

Volumn 77, Issue 1-2, 2001, Pages 228-236

  Lee, Dae Sik ^a   Jung, Jong Kyong ^a   Lim, Jun Woo ^a   Huh, Jeung Soo ^a   Lee, Duk Dong ^a  

^a Kyungpook National University   (South Korea)

Author keywords

Neural network; Sensor array; Tin oxide; Volatile organic compounds

Indexed keywords

ADDITIVES; BACKPROPAGATION; COMPUTER SIMULATION; LEARNING ALGORITHMS; MULTILAYER NEURAL NETWORKS; NEURAL NETWORKS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SUBSTRATES; TIN COMPOUNDS; VOLATILE ORGANIC COMPOUNDS;

ERROR-BACKPROPAGATION LEARNING ALGORITHMS;

CHEMICAL SENSORS;

EID: 0035876232     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-4005(01)00718-3     Document Type: Article

References (11)

1. The how and why of electronic noses
2. A brief history of electronic noses
3. Measurements of VOCs with a semiconductor electronic nose
4. Sensor array techniques of mimicking the mammalian olfactory system
5. VOC-detection in liquids with BAW-devices: The use of polyketone and PDMS as optimized coatings
6. 2 ultrafine particles by additives
7. Hydrocarbon gas sensors