메뉴 건너뛰기




Volumn 94, Issue 1, 2006, Pages 7-18

Generalisation Performance of Artificial Neural Networks for Near Infrared Spectral Analysis

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; ERROR ANALYSIS; INFRARED RADIATION; MULTILAYERS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

EID: 33646181566     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2006.02.001     Document Type: Article
Times cited : (10)

References (33)
  • 1
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike H. A new look at the statistical model identification. IEEE Transactions of Automatic Control, AC 19 6 (1974) 716-723
    • (1974) IEEE Transactions of Automatic Control, AC , vol.19 , Issue.6 , pp. 716-723
    • Akaike, H.1
  • 2
    • 0025072502 scopus 로고
    • Determination of physiological levels of glucose in an aqueous matrix with digitally filtered Fourier transform near-infrared spectra
    • Arnold M.A., and Small G.W. Determination of physiological levels of glucose in an aqueous matrix with digitally filtered Fourier transform near-infrared spectra. Analytical Chemistry 62 14 (1990) 1457-1464
    • (1990) Analytical Chemistry , vol.62 , Issue.14 , pp. 1457-1464
    • Arnold, M.A.1    Small, G.W.2
  • 3
    • 0024701578 scopus 로고
    • Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra
    • Barnes R.J., Dhanoa M.S., and Lister S.J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Applied Spectroscopy 43 5 (1989) 772-777
    • (1989) Applied Spectroscopy , vol.43 , Issue.5 , pp. 772-777
    • Barnes, R.J.1    Dhanoa, M.S.2    Lister, S.J.3
  • 6
    • 0030196364 scopus 로고    scopus 로고
    • Stacked regressions
    • Breiman L. Stacked regressions. Machine Learning 24 1 (1996) 49-64
    • (1996) Machine Learning , vol.24 , Issue.1 , pp. 49-64
    • Breiman, L.1
  • 7
    • 20744454482 scopus 로고    scopus 로고
    • Evaluation of neural-network classifiers for weed species discrimination
    • Burks T.F., Shearer S.A., Heath J.R., and Donohue K.D. Evaluation of neural-network classifiers for weed species discrimination. Biosystems Engineering 91 3 (2005) 293-304
    • (2005) Biosystems Engineering , vol.91 , Issue.3 , pp. 293-304
    • Burks, T.F.1    Shearer, S.A.2    Heath, J.R.3    Donohue, K.D.4
  • 9
    • 0032465337 scopus 로고    scopus 로고
    • The history of near infrared spectroscopic analysis: past, present and future-"from sleeping technique to the morning star of spectroscopy"
    • Davies T. The history of near infrared spectroscopic analysis: past, present and future-"from sleeping technique to the morning star of spectroscopy". Analusis Magazine 26 4 (1998) 17-19
    • (1998) Analusis Magazine , vol.26 , Issue.4 , pp. 17-19
    • Davies, T.1
  • 10
    • 0000488475 scopus 로고    scopus 로고
    • Protein content of single kernels of wheat by near-infrared reflectance spectroscopy
    • Delwiche S.R. Protein content of single kernels of wheat by near-infrared reflectance spectroscopy. Journal of Cereal Science 27 3 (1998) 241-254
    • (1998) Journal of Cereal Science , vol.27 , Issue.3 , pp. 241-254
    • Delwiche, S.R.1
  • 11
    • 0000336009 scopus 로고    scopus 로고
    • Automated nondestructive detection of internal insect infestation of wheat kernels by using near-infrared reflectance spectroscopy
    • Dowell F.E., Thorne J.E., and Baker J.E. Automated nondestructive detection of internal insect infestation of wheat kernels by using near-infrared reflectance spectroscopy. Journal of Economic Entomology 91 4 (1998) 899-904
    • (1998) Journal of Economic Entomology , vol.91 , Issue.4 , pp. 899-904
    • Dowell, F.E.1    Thorne, J.E.2    Baker, J.E.3
  • 13
    • 0022059848 scopus 로고
    • Linearisation and scatter-correction for near-infrared reflectance spectra of meat
    • Geladi P., Macdougall D., and Martens H. Linearisation and scatter-correction for near-infrared reflectance spectra of meat. Applied Spectroscopy 39 3 (1985) 491-500
    • (1985) Applied Spectroscopy , vol.39 , Issue.3 , pp. 491-500
    • Geladi, P.1    Macdougall, D.2    Martens, H.3
  • 17
    • 0002132573 scopus 로고
    • On the representation of continuous functions of several variables by superposition of continuous functions of one variable and addition
    • Kolmogorov A.N. On the representation of continuous functions of several variables by superposition of continuous functions of one variable and addition. American Mathematical Society Translations 28 (1963) 55-59
    • (1963) American Mathematical Society Translations , vol.28 , pp. 55-59
    • Kolmogorov, A.N.1
  • 18
    • 0033356561 scopus 로고    scopus 로고
    • Larsen J; Goutte C (1999). On optimal data split for generalisation estimation and model selection neural networks for signal processing IX. Proceedings of the 1999 IEEE Signal Processing Society Workshop, pp 225-234
  • 19
    • 0030173830 scopus 로고    scopus 로고
    • Spectroscopy and hybrid neural network analysis
    • Lu T., and Lerner J. Spectroscopy and hybrid neural network analysis. Proceedings of the IEEE 84 6 (1996) 895-905
    • (1996) Proceedings of the IEEE , vol.84 , Issue.6 , pp. 895-905
    • Lu, T.1    Lerner, J.2
  • 20
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • Mackay D.J.C. Bayesian interpolation. Neural Computation 4 3 (1992) 415-447
    • (1992) Neural Computation , vol.4 , Issue.3 , pp. 415-447
    • Mackay, D.J.C.1
  • 21
    • 0000234257 scopus 로고
    • The evidence framework applied to classification of networks
    • Mackay D.J.C. The evidence framework applied to classification of networks. Neural Computation 4 5 (1992) 720-736
    • (1992) Neural Computation , vol.4 , Issue.5 , pp. 720-736
    • Mackay, D.J.C.1
  • 22
    • 33646203535 scopus 로고    scopus 로고
    • Moody J; Utans J (1992). Principled architecture selection for neural networks: application to corporate bond rating prediction. In: Advances in Neural Information Processing Systems, Vol. 4 (Moody J E; Hanson S J; Lippmann R P, eds), pp 683-690. Morgan Kaufmann, San Mateo, CA
  • 23
    • 0025536870 scopus 로고    scopus 로고
    • Nguyen D; Widrow B (1990). Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights. Proceedings of the International Joint Conference on Neural Networks, pp 211-226
  • 24
    • 11844297329 scopus 로고    scopus 로고
    • Insect species and infestation level determination in wheat using near-infrared spectroscopy
    • Paliwal J., Wang W., Symons S.J., and Karunakaran C. Insect species and infestation level determination in wheat using near-infrared spectroscopy. Canadian Biosystems Engineering 46 7 (2004) 17-24
    • (2004) Canadian Biosystems Engineering , vol.46 , Issue.7 , pp. 17-24
    • Paliwal, J.1    Wang, W.2    Symons, S.J.3    Karunakaran, C.4
  • 25
    • 0036737859 scopus 로고    scopus 로고
    • Near-infrared absorption and scattering separated by extended inverted signal correction (EISC): analysis of near-infrared transmittance spectra of single wheat seeds
    • Pedersen D.K., Martens H., Nielsen J.P., and Engelsen S.B. Near-infrared absorption and scattering separated by extended inverted signal correction (EISC): analysis of near-infrared transmittance spectra of single wheat seeds. Applied Spectroscopy 56 9 (2002) 1206-1214
    • (2002) Applied Spectroscopy , vol.56 , Issue.9 , pp. 1206-1214
    • Pedersen, D.K.1    Martens, H.2    Nielsen, J.P.3    Engelsen, S.B.4
  • 28
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz G. Estimating the dimension of a model. The Annals of Statistics 6 2 (1978) 461-463
    • (1978) The Annals of Statistics , vol.6 , Issue.2 , pp. 461-463
    • Schwarz, G.1
  • 30
    • 0026692226 scopus 로고
    • Stacked generalisation
    • Wolpert D.H. Stacked generalisation. Neural Networks 5 2 (1992) 241-259
    • (1992) Neural Networks , vol.5 , Issue.2 , pp. 241-259
    • Wolpert, D.H.1
  • 31
    • 18844429237 scopus 로고    scopus 로고
    • Discrimination of hard-to-pop popcorn kernels by machine vision and neural networks
    • Yang W., Winter P., Sokhansanj S., Wood H., and Crerer B. Discrimination of hard-to-pop popcorn kernels by machine vision and neural networks. Biosystems Engineering 91 1 (2005) 1-8
    • (2005) Biosystems Engineering , vol.91 , Issue.1 , pp. 1-8
    • Yang, W.1    Winter, P.2    Sokhansanj, S.3    Wood, H.4    Crerer, B.5
  • 32
    • 0037274916 scopus 로고    scopus 로고
    • Classification of Fourier transform infrared microscopic imaging data of human breast cells by cluster analysis and artificial neural networks
    • Zhang L., Small G.W., Haka A.S., Kidder L.H., and Lewis E.N. Classification of Fourier transform infrared microscopic imaging data of human breast cells by cluster analysis and artificial neural networks. Applied Spectroscopy 57 1 (2002) 14-22
    • (2002) Applied Spectroscopy , vol.57 , Issue.1 , pp. 14-22
    • Zhang, L.1    Small, G.W.2    Haka, A.S.3    Kidder, L.H.4    Lewis, E.N.5
  • 33
    • 23044468685 scopus 로고    scopus 로고
    • Neural Network for estimating vehicle behaviour on sloping terrain
    • Zhu Z.X., Torisu R., Takeda J.I., Mao E.R., and Zhang Q. Neural Network for estimating vehicle behaviour on sloping terrain. Biosystems Engineering 91 4 (2005) 393-524
    • (2005) Biosystems Engineering , vol.91 , Issue.4 , pp. 393-524
    • Zhu, Z.X.1    Torisu, R.2    Takeda, J.I.3    Mao, E.R.4    Zhang, Q.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.