참고문헌
- J. H. Cho, Y. W. Kim, K. J. Na, and G. J. Jeon, "Wireless electronic nose system for real-time quantitative analysis of gas mixtures using micro-gas sensor array and neuro-fuzzy network," Sens. Actuators B, vol. 134, pp. 104-111, 2008. https://doi.org/10.1016/j.snb.2008.04.019
- Y. W. Kim, S. J. Lee, G. H. Kim, and G. J. Jeon, “Wireless electronic nose network for real-time gas monitoring system,” Proc. of the 2009 IEEE International Workshop on Robotic and Sensors Environments, pp. 169-172, Nov. 2009.
- E. Llobet, E. L. Hines, J. W. Gardner, P. N. Bartlett, and T. T. Mottram, “Fuzzy ARTMAP based electronic nose data analysis,” Sens. Actuators B, vol. 61, pp. 183-190, Dec. 1999. https://doi.org/10.1016/S0925-4005(99)00288-9
- A. Gulbag, and F. Temurtas, “An intelligent gas concentration estimation system using neural network implemented microcontroller,” Lect. Notes Comput. Sci., vol. 3339, pp. 1206-1212, Nov. 2004. https://doi.org/10.1007/978-3-540-30549-1_124
- A. Gulbag, and F. Temurtas, “A study on quantitative classification of binary gas mixture using neural networks and adaptive neuro-fuzzy inference system,” Sens. Actuators B, vol. 115, pp. 252-262, May 2006. https://doi.org/10.1016/j.snb.2005.09.009
- X. D. Wang, H. R . Zhang, and C. J. Zhang, “Signals recognition nose based on Support vector machines,” Proc. of the 2005 IEEE the Fourth International Conference on Machine Learning and Cybernetics, pp. 3394-3398, Aug. 2005.
- S. Jiang, W. Gui, C. Yang, and Y. Xie, “Fault Diagnosis of Lead-Zinc Smelting Furnace based on Multi-Class Support Vector Machines,” Proc. of the 2007 IEEE International Conference on Control and Automation, pp. 1643-1648, June, 2007.
- J. W. Lu, K. N. Plataniotis, and A. N. Venetsanopoulos, “Face recognition using feature optimization and support vector learning. Neural Networks for Signal Processing XI,” Proc. of the 2001 IEEE Signal Processing Society Workshop, pp. 373-382, Sep. 2001.
- V. N. Vapnik, The Nature of Statistical Learnig Theory, John Wiley & Sons Inc., NewYork, 1999.
- C. Distante, N. Ancona, and P. Siciliano, “Support vector machines for olfactory signals recognition”, Sens. Actuators B, vol. 88, pp. 30-39, 2003. https://doi.org/10.1016/S0925-4005(02)00306-4
- I. S. Oh, Pattern Recognition ,Kyobo Book Co., 2008.(in Korean)
- C. W. Hsu, C. J. Lin, “A comparison of methods for multi-class support machines,” IEEE Trans. Neural Net., vol. 13, pp. 415-425, 2002 https://doi.org/10.1109/72.991427
- J. Berezmes, P. Cabre, S. Rojo, E. Llobet, and X. Correig, “Discrimination between diffefent samples of olive oil using variable selection techniques and modified fuzzy ARTMAP neural networks,” IEEE Sens. J., vol. 5, pp. 463-470, 2005. https://doi.org/10.1109/JSEN.2005.846186
피인용 문헌
- Pattern Recognition of Ship Navigational Data Using Support Vector Machine vol.15, pp.4, 2015, https://doi.org/10.5391/IJFIS.2015.15.4.268