Intelligent processing of e-nose information for fish freshness assessment

Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP

Volumn , Issue , 2007, Pages 173-177

  GholamHosseini, H ^a   Luo, Dehan ^b   Liu, Hongxiu ^b   Xu, Guanggui ^b  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

^b GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ARTIFICIAL ORGANS; CHEMICAL SENSORS; COMPUTER NETWORKS; DATA PROCESSING; ELECTRIC FAULT LOCATION; FEATURE EXTRACTION; FISH; INDUSTRIAL RESEARCH; INTELLIGENT CONTROL; INTELLIGENT SYSTEMS; MEATS; NEURAL NETWORKS; PATTERN RECOGNITION; SIGNAL PROCESSING; SMART SENSORS; WIRELESS SENSOR NETWORKS;

FISH FRESHNESS; INFORMATION PROCESSING;

SENSOR NETWORKS;

EID: 51349154262     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSNIP.2007.4496839     Document Type: Conference Paper

References (16)

1. Gudrun Ólafsdóttir, Paul Nesvadba, Corrado Di Natale, et al., "Multisensor for fish quality determination", Trends in Food Science & Technology, vol. 15, pp. 86-93, 2004.
2. Schweizer-Berberich P. M., Vaihinger S., Gupel W., "Characterization of food freshness with sensor arrays", Journal of Sensors and Actuators, vol. 18-19, pp. 282-290, 1994.
3. LI Xiu-chen, Guerún Ólafsdóttir, "Development and application of electronic noses in freshness assessment of fishery products", Journal of Fisheries of China, vol. 26 (3), pp. 275-280, 2002.
4. Stephen A. Mccoy, Trevor P. Martin and James F. Baldwin, "Learning rules for odour recognition in an electronic nose", International Journal of Uncertainty, Fuzziness and knowledge-Based Systems, vol. 11 (5), pp. 517-543, 2003.
5. Dehan Luo, H.G.Hosseini, and J.R.Stewart, "Application of ANN with extracted parameters from an electronic nose in cigarette brand identification", Sensors and Actuators B, vol. 99, pp. 253-257, 2004.
6. Roland Linder, Siegfried J. Po, "A new neural network approach classifies olfactory signals with high accuracy", Food Quality and Preference, vol. 14, pp. 435-140, 2003.
7. Shu-Hsien Liao, Chih-Hao Wen, "Artificial neural networks classification and clustering of methodologies and applications - literature analysis from 1995 to 2005", Expert Systems with Applications, vol. 32, pp. 1-11, 2007.
8. Maria S. Cosio, Davide Ballabio, Simona Benedetti, Carmelina Gigliotti, "Geographical origin and authentication of extra virgin olive oils by an electronic nose in combination with artificial neural networks", Analytica Chimica Acta, vol. 567, pp. 202-210, 2006.
9. S. Panigrahia, S. Balasubramaniana, H. Gua, C. Logueb, M. Marchelloc, "Neural-network-integrated electronic nose system for identification of spoiled beef", LWT vol. 39, pp. 135-145, 2006.
10. Bahram G. Kermani, Susan S. Schiffman, H. Troy Nagle, "Performance of the Levenberg-Marquardt neural network training method in electronic nose applications", Sensors and Actuators B, vol. 110, pp. 13-22, 2005.
11. J.H. Sohn, R. Smith, E. Yoong, J. Leis, G. Galvin, "Quantification of Odours from Piggery Effluent Ponds using an Electronic Nose and an Artificial Neural Network", Biosystems Engineering, AE - Automation and Emerging Technologies, vol. 86 (4), pp. 399-410, 2003.
12. Daqi Gao, Chen Mingming, Yan Ji, "Simultaneous estimation of classes and concentrations of odors by an electronic nose using combinative and modular multilayer perceptrons", Sensors and Actuators B, vol. 107, pp. 773-781, 2005.
13. K. Brudzewski, S. Osowski, T. Markiewicz, J. Ulaczyk, "Classification of gasoline with supplement of bio-products by means of an electronic nose and SVM neural network", Sensors and Actuators B, vol. 113, pp. 135-141, 2006.
14. Alexandros K. Pavlou, Naresh Magana, Jeff Meecham Jones, Jonathan Browna, Paul Klatser, Anthony P.F. Turner, "Detection of Mycobacterium tuberculosis (TB) in vitro and in situ using an electronic nose in combination with a neural network system", Biosensors and Bioelectronics, vol. 20, pp. 538-544, 2004.
15. Phillip Evans, Krishna C. Persaud, Alexander S. McNeish, Robert W. Sneath, Norris Hobson, Naresh Magan, "Evaluation of a radial basis function neural network for the determination of wheat quality from electronic nose data", Sensors and Actuators B, vol. 69, pp. 348-358, 2000.
16. The MathWorks, Inc., 1994-2007.