Classification of diesel pool refinery streams through near infrared spectroscopy and support vector machines using C-SVC and ν-SVC

Near Infrared ◽

Support Vector ◽

Classification of Jet Fuel Properties by Near-Infrared Spectroscopy Using Fuzzy Rule-Building Expert Systems and Support Vector Machines

Applied Spectroscopy ◽

10.1366/000370210793335115 ◽

2010 ◽

Vol 64 (11) ◽

pp. 1251-1258 ◽

Cited By ~ 16

Author(s):

Zhanfeng Xu ◽

Christopher E. Bunker ◽

Peter De B. Harrington

Keyword(s):

Infrared Spectroscopy ◽

Support Vector Machines ◽

Expert Systems ◽

Near Infrared ◽

Fuzzy Rule ◽

Jet Fuel ◽

Support Vector ◽

Classification of tomatoes with different genotypes by visible and short-wave near-infrared spectroscopy with least-squares support vector machines and other chemometrics

Journal of Food Engineering ◽

10.1016/j.jfoodeng.2009.02.023 ◽

2009 ◽

Vol 94 (1) ◽

pp. 34-39 ◽

Cited By ~ 50

Author(s):

Lijuan Xie ◽

Yibin Ying ◽

Tiejin Ying

Keyword(s):

Infrared Spectroscopy ◽

Support Vector Machines ◽

Least Squares ◽

Near Infrared ◽

Short Wave ◽

Support Vector ◽

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 ◽

Oil Shale ◽

Near Infrared ◽

Oil Yield ◽

Support Vector ◽

2008 3rd International Conference on Intelligent System and Knowledge Engineering ◽

Application of least squares support vector machines for discrimination of red wine using visible and near infrared spectroscopy

10.1109/iske.2008.4731076 ◽

2008 ◽

Author(s):

Fei Liu ◽

Li Wang ◽

Yong He

Keyword(s):

Infrared Spectroscopy ◽

Support Vector Machines ◽

Least Squares ◽

Near Infrared ◽

Red Wine ◽

Support Vector ◽

Discrimination of adulteration cow milk by improved υ-support vector machines (υ-SVM) and near infrared spectroscopy

2012 8th International Conference on Natural Computation ◽

10.1109/icnc.2012.6234508 ◽

2012 ◽

Cited By ~ 1

Author(s):

L.J. Ni ◽

L.G. Zhang ◽

M.Y. Tang ◽

Z.B. Xue ◽

Xin Zhang ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Support Vector Machines ◽

Near Infrared ◽

Cow Milk ◽

Support Vector ◽

Use of Visible and Short-Wavelength Near-Infrared Spectroscopy and Least-Squares Support Vector Machines for Non-Destructive Rice Wine Quality Determination

Transactions of the ASABE ◽

10.13031/2013.36236 ◽

2011 ◽

Vol 54 (1) ◽

pp. 265-271 ◽

Cited By ~ 5

Author(s):

H. Y. Yu ◽

X. Y. Niu ◽

Y. B. Ying ◽

X. X. Pan

Keyword(s):

Infrared Spectroscopy ◽

Support Vector Machines ◽

Short Wavelength ◽

Near Infrared ◽

Support Vector ◽

Rice Wine ◽

Wine Quality ◽

Vector Machines ◽

Non Destructive

Rapid authentication of adulteration of olive oil by near-infrared spectroscopy using support vector machines

10.1117/12.2244294 ◽

2016 ◽

Author(s):

Jingzhu Wu ◽

Jingjing Dong ◽

Wenfei Dong ◽

Yan Chen ◽

Cuiling Liu

Keyword(s):

Infrared Spectroscopy ◽

Support Vector Machines ◽

Olive Oil ◽

Near Infrared ◽

Support Vector ◽

Support Vector Machines and Near Infrared Spectroscopy for Quantification of Vitamin C Content in Kiwifruit

10.13031/2013.24721 ◽

2008 ◽

Cited By ~ 3

Author(s):

Xiaping Fu ◽

Yibin Ying ◽

Huirong Xu ◽

Haiyan Yu

Keyword(s):

Infrared Spectroscopy ◽

Support Vector Machines ◽

Vitamin C ◽

Near Infrared ◽

Support Vector ◽

Computer And Computing Technologies In Agriculture, Volume II - The International Federation for Information Processing ◽

Study on Detection Technology of Milk Powder Based on Support Vector Machines and Near Infrared Spectroscopy

10.1007/978-0-387-77253-0_69 ◽

2008 ◽

pp. 1315-1316

Author(s):

Jingzhu Wu ◽

Shiping Zhu ◽

Yun Xu ◽

Yiming Wang

Keyword(s):

Infrared Spectroscopy ◽

Support Vector Machines ◽

Near Infrared ◽

Milk Powder ◽

Support Vector ◽

Detection Technology ◽

Identification of Wine According to Grape Variety Using Near-Infrared Spectroscopy Based on Radial Basis Function Neural Networks and Least-Squares Support Vector Machines

Food Analytical Methods ◽

10.1007/s12161-017-0887-1 ◽

2017 ◽

Vol 10 (10) ◽

pp. 3306-3311 ◽

Cited By ~ 10

Author(s):

Jing Yu ◽

Jicheng Zhan ◽

Weidong Huang

Keyword(s):

Neural Networks ◽

Infrared Spectroscopy ◽

Support Vector Machines ◽

Radial Basis Function ◽

Basis Function ◽

Near Infrared ◽

Support Vector ◽

Grape Variety ◽