-
2
-
-
0031735568
-
Neural networks in multivariate calibration
-
Despagne F., Luc Massart D. Neural networks in multivariate calibration. Analyst 1998, 123:157R-178R.
-
(1998)
Analyst
, vol.123
-
-
Despagne, F.1
Luc Massart, D.2
-
7
-
-
1542383676
-
Locally weighted regression and scatter correction for near-infrared reflectance data
-
Naes T., Isaksson T., Kowalski B. Locally weighted regression and scatter correction for near-infrared reflectance data. Analytical Chemistry 1990, 62:664-673.
-
(1990)
Analytical Chemistry
, vol.62
, pp. 664-673
-
-
Naes, T.1
Isaksson, T.2
Kowalski, B.3
-
9
-
-
0026578543
-
Nonlinear partial least squares modelling II. Spline inner relation
-
Wold S. Nonlinear partial least squares modelling II. Spline inner relation. Chemometrics and Intelligent Laboratory Systems 1992, 14:71-84.
-
(1992)
Chemometrics and Intelligent Laboratory Systems
, vol.14
, pp. 71-84
-
-
Wold, S.1
-
10
-
-
0038259120
-
Kernel partial least squares regression in reproducing kernel hilbert space
-
Rosipal R., Trejo L. Kernel partial least squares regression in reproducing kernel hilbert space. Journal of Machine Learning Research 2001, 2:97-123.
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 97-123
-
-
Rosipal, R.1
Trejo, L.2
-
11
-
-
70350364494
-
A nonlinear partial least squares algorithm using quadratic fuzzy inference system
-
Abdel-Rahman A.I., Lim G.J. A nonlinear partial least squares algorithm using quadratic fuzzy inference system. Journal of Chemometrics 2009, 23:530-537.
-
(2009)
Journal of Chemometrics
, vol.23
, pp. 530-537
-
-
Abdel-Rahman, A.I.1
Lim, G.J.2
-
12
-
-
33745903481
-
Extreme learning machine: theory and applications
-
Huang G., Zhu Q., Siew C. Extreme learning machine: theory and applications. Neurocomputing 2006, 70:489-501.
-
(2006)
Neurocomputing
, vol.70
, pp. 489-501
-
-
Huang, G.1
Zhu, Q.2
Siew, C.3
-
13
-
-
84859007933
-
Extreme learning machine for regression and multiclass classification
-
Huang G., Zhou H., Ding X., Zhang R. Extreme learning machine for regression and multiclass classification. IEEE Transactions on Systems, Man and Cybernetics, Part B 2012, 42:513-529.
-
(2012)
IEEE Transactions on Systems, Man and Cybernetics, Part B
, vol.42
, pp. 513-529
-
-
Huang, G.1
Zhou, H.2
Ding, X.3
Zhang, R.4
-
14
-
-
84881549788
-
Determination of amino acid nitrogen in soy sauce using near infrared spectroscopy combined with characteristic variables selection and extreme learning machine
-
Ouyang Q., Chen Q., Zhao J., Lin H. Determination of amino acid nitrogen in soy sauce using near infrared spectroscopy combined with characteristic variables selection and extreme learning machine. Food and Bioprocess Technology July 25 2012, , pp. 1-8, http://dx.doi.org/10.1007/s11947-012-0936-0.
-
(2012)
Food and Bioprocess Technology
, vol.25
, pp. 1-8
-
-
Ouyang, Q.1
Chen, Q.2
Zhao, J.3
Lin, H.4
-
15
-
-
84863886618
-
Rapid measurement of total acid content (TAC) in vinegar using near infrared spectroscopy based on efficient variables selection algorithm and nonlinear regression tools
-
Chen Q., Ding J., Cai J., Zhao J. Rapid measurement of total acid content (TAC) in vinegar using near infrared spectroscopy based on efficient variables selection algorithm and nonlinear regression tools. Food Chemistry 2012, 135:590-595.
-
(2012)
Food Chemistry
, vol.135
, pp. 590-595
-
-
Chen, Q.1
Ding, J.2
Cai, J.3
Zhao, J.4
-
16
-
-
84875050161
-
Determination of pear internal quality attributes by Fourier transform near infrared (FT-NIR) spectroscopy and multivariate analysis
-
Jiang H., Zhu W. Determination of pear internal quality attributes by Fourier transform near infrared (FT-NIR) spectroscopy and multivariate analysis. Food Analytical Methods July 25 2012, , pp. 1-9, http://dx.doi.org/10.1007/s12161-012-9480-9.
-
(2012)
Food Analytical Methods
, vol.25
, pp. 1-9
-
-
Jiang, H.1
Zhu, W.2
-
17
-
-
84859484369
-
Determination of process variable pH in solid-state fermentation by FT-NIR spectroscopy and extreme learning machine (ELM)
-
Liu G., Jiang H., Xiao X., Zhang D., Mei C., Ding Y. Determination of process variable pH in solid-state fermentation by FT-NIR spectroscopy and extreme learning machine (ELM). Spectroscopy Spectral Analysis 2012, 32:970-973.
-
(2012)
Spectroscopy Spectral Analysis
, vol.32
, pp. 970-973
-
-
Liu, G.1
Jiang, H.2
Xiao, X.3
Zhang, D.4
Mei, C.5
Ding, Y.6
-
18
-
-
84872398675
-
-
http://www.models.life.ku.dk/datasets.
-
-
-
-
19
-
-
84894887900
-
Computer aided design of experiments
-
Kennard R.W., Stone L.A. Computer aided design of experiments. Technometrics 1969, 11:137-148.
-
(1969)
Technometrics
, vol.11
, pp. 137-148
-
-
Kennard, R.W.1
Stone, L.A.2
-
20
-
-
0036575606
-
Chemometric quantitation of the active substance (containing C≡N) in a pharmaceutical tablet using near-infrared (NIR) transmittance and NIR FT-Raman spectra
-
Dyrby M., Engelsen S.B., Nørgaard L., Bruhn M., Nielsen L.L. Chemometric quantitation of the active substance (containing C≡N) in a pharmaceutical tablet using near-infrared (NIR) transmittance and NIR FT-Raman spectra. Applied Spectroscopy 2002, 56:579-585.
-
(2002)
Applied Spectroscopy
, vol.56
, pp. 579-585
-
-
Dyrby, M.1
Engelsen, S.B.2
Nørgaard, L.3
Bruhn, M.4
Nielsen, L.L.5
-
21
-
-
84872404412
-
-
http://software.eigenvector.com/Data.
-
-
-
-
22
-
-
84872406643
-
-
http://lib.stat.cmu.edu/datasets/tecator.
-
-
-
-
23
-
-
0345019845
-
Genetic algorithms applied to feature selection in PLS regression: how and when to use them
-
Leardi R., González A.L. Genetic algorithms applied to feature selection in PLS regression: how and when to use them. Chemometrics and Intelligent Laboratory Systems 1998, 41:195-207.
-
(1998)
Chemometrics and Intelligent Laboratory Systems
, vol.41
, pp. 195-207
-
-
Leardi, R.1
González, A.L.2
-
24
-
-
0000105237
-
Elimination of uninformative variables for multivariate calibration
-
Centner V., Massart D. Elimination of uninformative variables for multivariate calibration. Analytical Chemistry 1996, 68:3851-3858.
-
(1996)
Analytical Chemistry
, vol.68
, pp. 3851-3858
-
-
Centner, V.1
Massart, D.2
-
25
-
-
0035948747
-
The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
-
Araújo M., Saldanha T., Galvão R., Yoneyama T., Chame H., Visani V. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis. Chemometrics and Intelligent Laboratory Systems 2001, 57:65-73.
-
(2001)
Chemometrics and Intelligent Laboratory Systems
, vol.57
, pp. 65-73
-
-
Araújo, M.1
Saldanha, T.2
Galvão, R.3
Yoneyama, T.4
Chame, H.5
Visani, V.6
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