Applies of neural networks to identify gases based on electronic nose

2007 IEEE International Conference on Control and Automation, ICCA

Volumn , Issue , 2007, Pages 2699-2704

  Men, Hong ^a   Li, Xiaoying ^a   Wang, Jianguo ^a   Gao, Jing ^b  

^a NORTHEAST ELECTRIC POWER UNIVERSITY   (China)

^b JILIN MEDICAL COLLEGE   (China)

Author keywords

Back propagarion; Electronic nose; Neural networks; Radial basis function; Self organization; Training

Indexed keywords

BACKPROPAGATION; CHEMICAL SENSORS; ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS; ERROR ANALYSIS; NEURAL NETWORKS; SENSOR NETWORKS;

ELECTRONIC NOSE; GRADIENT DESCENT (TRAINGD); LEARNING RATE;

GASES;

EID: 44349176018     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCA.2007.4376852     Document Type: Conference Paper

References (14)

1. Z. Shi, J. Li , Q. Ma, D. Cui, M. Zhu, "Electronic nose and its application to identification of distilled spirits," Instrument Technique and Sensor, vol. 1, pp. 34-37, January 2000.
2. E. Llobet, E. L.Hines, J. W. Gardner, P. N. Bartlett, T. T. Mottram, "Fuzzy ARTMAP based electronic nose data analysis," Sensors and Actuators B, vol. 61, pp. 183-190, February 1999.
3. J. W. Gardner, "Detection of vapeurs and odours from a multisensor array using pattern recognition techniques. Part 1: Principal component analysis and cluster analysis," Sensors and Actuators B4, vol. 34, pp. 109-115, January 1991.
4. S. L. Rose-Pehrsson, J. W. Grate, D. S. Ballantine, P.C. Jurs, "Detection of hazardous vapours including mixtures using pattern recognition analysis of responses from surface acoustic wave device ," Anal. Chem. vol. 60, pp. 2801-2811, October 1999.
5. H. Sundgren, I. Lunderstrom, F. Winquist, "Evaluation of a multiple gas mixture with a simple MOSFET gas sensor arrays and pattern recognition," Sensors and Actuators B, vol. 2, pp. 115-123, January 1990.
6. G. Horner, C. Hierold, "Gas analysis by partial model buildings," Sensors and Actuators B, vol. 2, pp. 173-184, January 1990.
7. Y. Yong, W. Jun, Z. Ming, "Research developments of electronic nose and it application in processing of agriculture products," Journal of ZheJiang University (Agric. & life Sci.), vol. 29, pp. 579-584, May 2003.
8. S. Singh, E. L. Hines, J. W. Gardner, "Fuzzy neural computing of coffee and tainted-water data from an electronic nose", Sensors and Actuators B, vol. 30, pp. 185-190,January 1996.
9. R. MA, W. ZHOU, M. CHEN, "A Gas System Based on the Sensor Array and the Neural Network," Journal of Transducer Technology, vol.3, pp. 25-30, December 2004.
10. A. K. Srivastava, K. K. Shukla, S. K. Srivastava, "Exploring neurogenetic processing of electronic nose data," Microelectronics Journal, vol. 29, pp. 921-931, June 1998.
11. J. Erik, H. K. Kvaal, "Electronic Nose and Artificial Neural Network," Meat Science, vol.49, pp. 273-S286, December 1998.
12. P. Evans, K. C. Persaud, A. S. McNeish, R. W. Sneath, N. Hobson, N. 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, Septmeber 2000.
13. K. Zhou, Y. Kang, Model of neural network and Procedure design with MATLAB simulink., BeiJing: Science Press, 2004.
14. N. Paulsson, E. Larsson, F. Winquist, "Extraction and selection of parameters for evaluation of breath alcohol measurement with an electronic noose," Sensors and Actuators B, vol. 84, pp. 187-197, January 2000.