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Volumn 4, Issue 1-4, 1996, Pages 243-255

A calibration tutorial for spectral data. Part 2. Partial least squares regression using Matlab and some neural network results

Author keywords

Artifical neural network; Back propagation; Inner relation; Partial least squares regression; Properties of PLS vectors; Regression vector plot; Score plot

Indexed keywords


EID: 0030343843     PISSN: 09670335     EISSN: None     Source Type: Journal    
DOI: 10.1255/jnirs.94     Document Type: Article
Times cited : (15)

References (16)
  • 14
    • 3242846355 scopus 로고
    • Modelling non-linear data using neural networks regression in connection with PLS and PCA
    • Ed by D.L. Andrews and A.M.C. Davies. Proceedings of "Spectroscopy Across the Spectrum IV", Norwich, July 11-14 1994. The Royal Society of Chemistry, Cambridge
    • C. Borggaard, "Modelling non-linear data using neural networks regression in connection with PLS and PCA", in Frontiers In Analytical Spectroscopy, Ed by D.L. Andrews and A.M.C. Davies. Proceedings of "Spectroscopy Across the Spectrum IV", Norwich, July 11-14 1994. The Royal Society of Chemistry, Cambridge, pp. 209-217 (1995).
    • (1995) Frontiers in Analytical Spectroscopy , pp. 209-217
    • Borggaard, C.1
  • 15
    • 3242821322 scopus 로고
    • Rugged spectroscopic calibration using neural networks
    • Ed by D.L. Andrews and A.M.C. Davies. Proceedings of "Spectroscopy Across the Spectrum IV", Norwich, July 11-14 1994. The Royal Society of Chemistry, Cambridge
    • P. Gemperline, "Rugged spectroscopic calibration using neural networks", in Frontiers in Analytical Spectroscopy, Ed by D.L. Andrews and A.M.C. Davies. Proceedings of "Spectroscopy Across the Spectrum IV", Norwich, July 11-14 1994. The Royal Society of Chemistry, Cambridge, pp. 218-224 (1995).
    • (1995) Frontiers in Analytical Spectroscopy , pp. 218-224
    • Gemperline, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.