Wang S, Feng X L. Development of Multigas Analysis and Identifying Technology. Journal of Chongqing Institute of Technology: Natural Science Edition, 2007, 21(3): 78-81, 87 (in Chinese)(王 帅,冯新泸.多组分气体检测与识别技术进展.重庆工学院学报:自然科学版, 2007, 21(3): 78-81, 87)
[2]
Grall A J, Zellers E T, Sacks R D. High-Speed Analysis of Complex Indoor VOC Mixtures by Vacuum-Outlet GC with Air Carrier Gas and Programmable Retention. Environmental Science and Technology, 2001, 35(1): 163-169
[3]
Samuelsson R, Burvall J, Jirjis R. Comparison of Different Methods for the Determination of Moisture Content in Biomass. Biomass and Bioenergy, 2006, 30(11): 929-934
[4]
Shen C Y, Li J Q, Wang H M, et al. Real-Time Measurement of the Drug Precursor Chemicals with Proton Transfer Reaction Mass Spectrometry. Journal of Hunan University: Natural Sciences, 2009, 36(2): 75-79 (in Chinese)(沈成银,李建权,王鸿梅,等.易制毒化学品快速检测新技术.湖南大学学报:自然科学版, 2009, 36(2): 75-79)
[5]
Li J X, Wu B T, Wang X J. Recent Development Tendency and Application Foreground of Ion Mobility Spectrometry. Ship Science and Technology, 2006, 28(2): 13-15 (in Chinese)(李金香,武波涛,王兴军.离子迁移谱技术发展趋势和应用前景.舰船科学技术, 2006, 28(2): 13-15)
[6]
Qi R B, Yin X, Yang L, et al. Application of NIR Spectroscopy to Multiple Gas Components Identification. Spectroscopy and Spectral Analysis, 2008, 28(12): 2855-2858 (in Chinese)(齐汝宾,尹 新,杨 立,等.多成分有机气体的近红外光谱定量检测方法.光谱学与光谱分析, 2008, 28(12): 2855-2858)
[7]
Zhu H D, Luo Q, Zhou L, et al. Application Prospect of Natural Gas Component Analysis Using Laser Raman Spectroscopy. Natural Gas Industry, 2013, 33(11): 110-114 (in Chinese)(朱华东,罗 勤,周 理,等.激光拉曼光谱及其在天然气分析中的应用展望.天然气工业, 2013, 33(11): 110-114)
[8]
Hai Z, Wang J. Studies on Signal Feature Extraction and Sensor Optimization of an Electronic Nose. Chinese Journal of Sensors and Actuators, 2006, 19(3): 606-610 (in Chinese)(海 铮,王 俊.电子鼻信号特征提取与传感器优化的研究.传感技术学报, 2006, 19(3): 606-610)
[9]
Peng J. Study on Optimization of Sensor Array for E-nose System. Master Dissertation. Wuhan, China: Huazhong University of Science and Technology, 2008 (in Chinese)(彭 婧.气敏传感器阵列优化应用研究.硕士学位论文.武汉:华中科技大学, 2008)
[10]
Fan C Q. A Study of Feature Extraction for E-nose System. Master Dissertation. Wuhan, China: Huazhong University of Science and Technology, 2007 (in Chinese)(范超群.电子鼻系统中的特征提取研究.硕士学位论文.武汉:华中科技大学, 2007)
[11]
Melgani F, Bazi Y. Classification of Electrocardiogram Signals with Support Vector Machines and Particle Swarm Optimization. IEEE Trans on Information Technology in Biomedicine, 2008, 12(5):667- 677
[12]
Haykin S. Neural Networks: A Comprehensive Foundation. 2nd Edition. Upper Saddle River, USA: Prentice Hall, 2001
[13]
Yu Y, Wang B, Zhang L M. A Fast Data-Oriented Algorithm for Principal Component Analysis. Pattern Recognition and Artificial Intelligence, 2009, 22(4): 567-573 (in Chinese)(余 映,王 斌,张立明.一种面向数据学习的快速PCA算法.模式识别与人工智能, 2009, 22(4): 567-573)
[14]
Lin S W, Ying K C, Chen S C, et al. Particle Swarm Optimization for Parameter Determination and Feature Selection of Support Vector Machines. Expert Systems with Applications, 2008, 35(4): 1817-1824
[15]
Huang C L, Dun J F. A Distributed PSO-SVM Hybrid System with Feature Selection and Parameter Optimization. Applied Soft Computing, 2008, 8(4): 1381-1391
[16]
Shen Q, Shi W M, Kong W, et al. A Combination of Modified Particle Swarm Optimization Algorithm and Support Vector Machine for Gene Selection and Tumor Classification. Talanta, 2007, 71(4): 1679-1683
[17]
Yuan S F, Chu F L. Fault Diagnostics Based on Particle Swarm Optimization and Support Vector Machines. Mechanical Systems and Signal Processing, 2007, 21(4): 1787-1798
[18]
Trelea I C. The Particle Swarm Optimization Algorithm: Convergence Analysis and Parameter Selection. Information Processing Letters, 2003, 85(6): 317-325
[19]
Ni Q J, Xing H C, Zhang Z Z, et al. Survey of Particle Swarm Optimization Algorithm. Pattern Recognition and Artificial Intelligence, 2007, 20(3): 349-357 (in Chinese)(倪庆剑,邢汉承,张志政,等.粒子群优化算法研究进展.模式识别与人工智能, 2007, 20(3): 349-357)
[20]
Shao X G, Yang H Z, Chen G. Parameters Selection and Application of Support Vector Machines Based on Particle Swarm Optimization Algorithm. Control Theory & Applications, 2006, 23(5): 740-743, 748 (in Chinese)(邵信光,杨慧中,陈 刚.基于粒子群优化算法的支持向量机参数选择及其应用.控制理论与应用, 2006, 23(5): 740-743,748)
