Research on the Quantitative Analysis of Near Infrared Spectroscopy of Asiatic Moonseed Based on Support Vector Machine and Wavelet Transform

2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) ◽

10.1109/ihmsc.2016.276 ◽

2016 ◽

Author(s):

Zhang Yong ◽

Yu Fan Hua

Keyword(s):

Support Vector Machine ◽

Infrared Spectroscopy ◽

Wavelet Transform ◽

Quantitative Analysis ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Support Vector

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Quantitative Analysis of Near-Infrared Spectroscopy by Combined Stationary Wavelet Transform–Support Vector Machine

Spectroscopy Letters ◽

10.1080/00387010.2012.661016 ◽

2013 ◽

Vol 46 (1) ◽

pp. 47-53 ◽

Cited By ~ 3

Author(s):

Li Xing ◽

Longjian Chen

Keyword(s):

Support Vector Machine ◽

Infrared Spectroscopy ◽

Wavelet Transform ◽

Quantitative Analysis ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Support Vector ◽

Stationary Wavelet Transform

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Quantitative analysis of fruit firmness by near infrared spectroscopy and least-squares support vector machine

10.13031/2013.27183 ◽

2009 ◽

Author(s):

Xiaping Fu ◽

Yibin Ying ◽

Huirong Xu

Keyword(s):

Support Vector Machine ◽

Infrared Spectroscopy ◽

Quantitative Analysis ◽

Least Squares ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Support Vector ◽

Fruit Firmness

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Quantitative Analysis of Total Nitrogen Content in Monoammonium Phosphate Fertilizer Using Visible-Near Infrared Spectroscopy and Least Squares Support Vector Machine

Journal of Applied Spectroscopy ◽

10.1007/s10812-019-00842-0 ◽

2019 ◽

Vol 86 (3) ◽

pp. 465-469 ◽

Cited By ~ 1

Author(s):

L. S. Wang ◽

R. J. Wang ◽

C. P. Lu ◽

J. Wang ◽

W. Huang ◽

...

Keyword(s):

Support Vector Machine ◽

Infrared Spectroscopy ◽

Quantitative Analysis ◽

Least Squares ◽

Nitrogen Content ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Phosphate Fertilizer ◽

Support Vector ◽

Monoammonium Phosphate

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Support vector machine regression on selected wavelength regions for quantitative analysis of caffeine in tea leaves by near infrared spectroscopy

Journal of Chemometrics ◽

10.1002/cem.3172 ◽

2019 ◽

Vol 33 (10) ◽

pp. e3172 ◽

Cited By ~ 4

Author(s):

Somdeb Chanda ◽

Ajanto Kumar Hazarika ◽

Navnil Choudhury ◽

Sk Anarul Islam ◽

Rishabh Manna ◽

...

Keyword(s):

Support Vector Machine ◽

Infrared Spectroscopy ◽

Quantitative Analysis ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Support Vector ◽

Tea Leaves ◽

Support Vector Machine Regression

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Application of Particle Swarm Optimization Based Least Square Support Vector Machine in Quantitative Analysis of Extraction Solution of Safflower Using Near-infrared Spectroscopy

CHINESE JOURNAL OF ANALYTICAL CHEMISTRY (CHINESE VERSION) ◽

10.3724/sp.j.1096.2012.10898 ◽

2013 ◽

Vol 40 (6) ◽

pp. 925-931 ◽

Cited By ~ 1

Author(s):

Ye JIN ◽

Kai YANG ◽

Yong-Jiang WU ◽

Xue-Song LIU ◽

Yong CHEN

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Infrared Spectroscopy ◽

Quantitative Analysis ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Particle Swarm ◽

Least Square ◽

Support Vector ◽

Swarm Optimization

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Quantitative analysis of routine chemical constituents in tobacco by near-infrared spectroscopy and support vector machine

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2008.04.020 ◽

2008 ◽

Vol 71 (4) ◽

pp. 1408-1413 ◽

Cited By ~ 50

Author(s):

Yong Zhang ◽

Qian Cong ◽

Yunfei Xie ◽

JingxiuYang ◽

Bing Zhao

Keyword(s):

Support Vector Machine ◽

Infrared Spectroscopy ◽

Quantitative Analysis ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Chemical Constituents ◽

Support Vector

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Discrimination of Rhizoma Corydalis from two sources by near-infrared spectroscopy supported by the wavelet transform and least-squares support vector machine methods

Vibrational Spectroscopy ◽

10.1016/j.vibspec.2011.01.007 ◽

2011 ◽

Vol 56 (2) ◽

pp. 154-160 ◽

Cited By ~ 40

Author(s):

Yanhua Lai ◽

Yongnian Ni ◽

Serge Kokot

Keyword(s):

Support Vector Machine ◽

Infrared Spectroscopy ◽

Wavelet Transform ◽

Least Squares ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Support Vector

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Rapid Identification of Waste Cooking Oil with Near Infrared Spectroscopy Based on Support Vector Machine

Computer and Computing Technologies in Agriculture VI - IFIP Advances in Information and Communication Technology ◽

10.1007/978-3-642-36124-1_2 ◽

2013 ◽

pp. 11-18 ◽

Cited By ~ 2

Author(s):

Xiong Shen ◽

Xiao Zheng ◽

Zhiqiang Song ◽

Dongping He ◽

Peishi Qi

Keyword(s):

Support Vector Machine ◽

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Waste Cooking Oil ◽

Rapid Identification ◽

Support Vector ◽

Cooking Oil

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Food powders classification using handheld Near-Infrared Spectroscopy and Support Vector Machine

Journal of Physics Conference Series ◽

10.1088/1742-6596/1367/1/012029 ◽

2019 ◽

Vol 1367 ◽

pp. 012029 ◽

Cited By ~ 2

Author(s):

Mohamed Yasser Mohamed ◽

Mahmud Iwan Solihin ◽

Winda Astuti ◽

Chun Kit Ang ◽

Wan Zailah

Keyword(s):

Support Vector Machine ◽

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Support Vector ◽

Food Powders

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Detection of oil yield from oil shale based on near-infrared spectroscopy combined with wavelet transform and least squares support vector machines

Infrared Physics & Technology ◽

10.1016/j.infrared.2018.12.036 ◽

2019 ◽

Vol 97 ◽

pp. 224-228 ◽

Cited By ~ 9

Author(s):

Fudong Zhang ◽

Jie Liu ◽

Jun Lin ◽

Zhihong Wang

Keyword(s):

Infrared Spectroscopy ◽

Wavelet Transform ◽

Support Vector Machines ◽

Least Squares ◽

Near Infrared Spectroscopy ◽

Oil Shale ◽

Near Infrared ◽

Oil Yield ◽

Support Vector ◽

Vector Machines

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