Prediction of Enological Parameters and Discrimination of Rice Wine Age Using Least-Squares Support Vector Machines and Near Infrared Spectroscopy

Near Infrared ◽

Support Vector ◽

Rice Wine ◽

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 ◽

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

Engineering Applications of Neural Networks - IFIP Advances in Information and Communication Technology ◽

Quantization of Adulteration Ratio of Raw Cow Milk by Least Squares Support Vector Machines (LS-SVM) and Visible/Near Infrared Spectroscopy

10.1007/978-3-642-23957-1_15 ◽

2011 ◽

pp. 130-139 ◽

Cited By ~ 4

Author(s):

Ching-Lu Hsieh ◽

Chao-Yung Hung ◽

Ching-Yun Kuo

Keyword(s):

Infrared Spectroscopy ◽

Support Vector Machines ◽

Least Squares ◽

Near Infrared ◽

Cow Milk ◽

Support Vector ◽

Near infrared spectroscopy combined with least squares support vector machines and fuzzy rule-building expert system applied to diagnosis of endometrial carcinoma

Cancer Epidemiology ◽

10.1016/j.canep.2011.10.009 ◽

2012 ◽

Vol 36 (3) ◽

pp. 317-323 ◽

Cited By ~ 13

Author(s):

Fan Yang ◽

Jing Tian ◽

Yuhong Xiang ◽

Zhuoyong Zhang ◽

Peter de B. Harrington

Keyword(s):

Infrared Spectroscopy ◽

Support Vector Machines ◽

Expert System ◽

Least Squares ◽

Endometrial Carcinoma ◽

Near Infrared ◽

Fuzzy Rule ◽

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 ◽

STORAGE PERIOD DETERMINATION OF BEE POLLEN BY VISIBLE-NEAR INFRARED SPECTROSCOPY WITH LEAST SQUARES-SUPPORT VECTOR MACHINES

JOURNAL OF INFRARED AND MILLIMETER WAVES ◽

10.3724/sp.j.1010.2010.00216 ◽

2010 ◽

Vol 29 (3) ◽

pp. 216-219

Author(s):

Hang-Feng JIN ◽

Ling-Xia HUANG ◽

Di WU ◽

Pei-Hua JIN ◽

Cheng-Fu LOU

Keyword(s):

Infrared Spectroscopy ◽

Support Vector Machines ◽

Least Squares ◽

Near Infrared ◽

Storage Period ◽

Support Vector ◽

Bee Pollen ◽

Least-squares support vector machines and near infrared spectroscopy for quantification of common adulterants in powdered milk

Analytica Chimica Acta ◽

10.1016/j.aca.2006.07.008 ◽

2006 ◽

Vol 579 (1) ◽

pp. 25-32 ◽

Cited By ~ 183

Author(s):

Alessandra Borin ◽

Marco Flôres Ferrão ◽

Cesar Mello ◽

Danilo Althmann Maretto ◽

Ronei Jesus Poppi

Keyword(s):

Infrared Spectroscopy ◽

Support Vector Machines ◽

Least Squares ◽

Near Infrared ◽

Support Vector ◽

Powdered Milk ◽

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

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2013.08.018 ◽

2014 ◽

Vol 117 ◽

pp. 389-396 ◽

Cited By ~ 16

Author(s):

Julio Cesar L. Alves ◽

Claudete B. Henriques ◽

Ronei J. Poppi

Keyword(s):

Infrared Spectroscopy ◽

Support Vector Machines ◽

Near Infrared ◽

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 ◽