Performance evaluation of multilayer perceptrons for discriminating and quantifying multiple kinds of odors with an electronic nose
作者： Daqi Gao , Zeping Yang , Chaoqian Cai , Fangjun Liu
DOI: 10.1016/J.NEUNET.2012.05.009
关键词:
摘要: This paper studies several types and arrangements of perceptron modules to discriminate quantify multiple odors with an electronic nose. We evaluate the following multilayer perceptron. (A) A single multi-output (SMO) both for discrimination quantification. (B) An SMO followed by (MMO) perceptrons (C) single-output (MSO) (D) MSO quantification, called MSO-MSO model, under conditions: (D1) using a simple one-against-all (OAA) decomposition method; (D2) adopting OAA method virtual balance step; (D3) employing local method, step generalization strategy all together. The experimental results 12 kinds volatile organic compounds at 85 concentration levels in training set 155 test show that model D3 learning procedure is most effective those tested quantification many odors.
acm.org
elsevier.com
sci-hub.se 参考文章(61)
Handbook of Machine Olfaction Wiley-VCH. ,(2002) , 10.1002/3527601597
Christopher M. Bishop, Neural networks for pattern recognition ,(1995)
Gao Daqi, Sun Jianli, Li Xiaoyan, Parallel-Series Perceptrons for the Simultaneous Determination of Odor Classes and Concentrations Lecture Notes in Computer Science. pp. 250- 260 ,(2007) , 10.1007/978-3-540-74695-9_26
Gao Daqi, Chen Wei, Simultaneous estimation of odor classes and concentrations using an electronic nose with function approximation model ensembles Sensors and Actuators B-chemical. ,vol. 120, pp. 584- 594 ,(2007) , 10.1016/J.SNB.2006.03.017
Jorge Orts, Eduard Llobet, Xavier Vilanova, Jesus Brezmes, Xavier Correig, Selective methane detection under varying moisture conditions using static and dynamic sensor signals Sensors and Actuators B-chemical. ,vol. 60, pp. 106- 117 ,(1999) , 10.1016/S0925-4005(99)00257-9
J CHO, Y KIM, K NA, G JEON, Wireless electronic nose system for real-time quantitative analysis of gas mixtures using micro-gas sensor array and neuro-fuzzy network Sensors and Actuators B-chemical. ,vol. 134, pp. 104- 111 ,(2008) , 10.1016/J.SNB.2008.04.019
Saverio De Vito, Marco Piga, Luca Martinotto, Girolamo Di Francia, CO, NO2 and NOx urban pollution monitoring with on-field calibrated electronic nose by automatic bayesian regularization Sensors and Actuators B: Chemical. ,vol. 143, pp. 182- 191 ,(2009) , 10.1016/J.SNB.2009.08.041
Michael Kohler, Jens Mehnert, Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors Neural Networks. ,vol. 24, pp. 273- 279 ,(2011) , 10.1016/J.NEUNET.2010.11.003
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank, Classifier chains for multi-label classification Machine Learning. ,vol. 85, pp. 333- 359 ,(2011) , 10.1007/S10994-011-5256-5
Muhammad R. Widyanto, Benyamin Kusumoputro, Kaoru Hirota, Unknown odor recognition using Euclidean Fuzzy similarity-based Self-Organized Network inspired by Immune Algorithm Neural Computing and Applications. ,vol. 17, pp. 27- 37 ,(2007) , 10.1007/S00521-007-0105-Y