Identification of paper quality using a hybrid electronic nose

Sensors and Actuators: B. Chemical

Volumn 27, Issue 1-3, 1995, Pages 246-249

  Holmberg, M ^a   Winquist, F ^a   Lundstrom I ^a   Gardner, J W ^b   Hines, E L ^b  

^a LINKÖPING UNIVERSITY   (Sweden)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Cluster analysis; Electronic nose; Gas array sensor; Principle components analysis

Indexed keywords

AIR; ARRAYS; BACKPROPAGATION; CHEMICALLY SENSITIVE FIELD EFFECT TRANSISTORS; NEURAL NETWORKS; ODORS; PAPER;

CLUSTER ANALYSIS; ELECTRONIC NOSE; GAS ARRAY SENSOR; PAPER QUALITY; PRINCIPLE COMPONENTS ANALYSIS;

CHEMICAL SENSORS;

EID: 0029327162     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/0925-4005(94)01595-9     Document Type: Article

References (6)

1. A brief history of electronic noses
2. Performance of an electronic nose for quality estimation of ground meat
3. From hydrogen sensors to olfactory images — twenty years with catalytic field-effect devices
4. Pattern recognition in gas sensing
5. Detection of vapours and odours from a multisensor array using pattern recognition. Part 1: Principal component and cluster analyses
6. Detection of vapours and odours from a multisensor array using pattern recognition. Part 2: Artificial neural networks