Artificial neural networks applied to the classification of emission lines in inductively coupled plasma-atomic emission spectroscopy

Analytical Letters

Volumn 36, Issue 1, 2003, Pages 245-262

  Lopez Molinero, A ^a   Pino, J ^a   Castro, A ^a   Castillo, J R ^a  

^a UNIVERSITY OF ZARAGOZA   (Spain)

Author keywords

Artificial neural networks; Back propagation; Classification spectral lines; Inductively coupled plasma optical emission spectroscopy; Self organizing map

Indexed keywords

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATOMIC EMISSION SPECTROMETRY; ENERGY; EXCITATION; PREDICTION; SPECTRUM; TECHNIQUE; THEORETICAL MODEL;

EID: 0037214782     PISSN: 00032719     EISSN: None     Source Type: Journal    
DOI: 10.1081/AL-120017275     Document Type: Article

References (15)

1. Boumans, P.W.J.M. Inductively Coupled Plasma Emission Spectroscopy: Part 1; Wiley: New York, 1987.
2. Blades, M.W.; Horlick, G. The vertical spatial characteristic of analyte emission in the inductively coupled plasma. Spectrochim. Acta 1981, 36B, 861-880.
3. Montaser, A.; Golightly, D.W. Inductively Coupled Plasmas in Analytical Atomic Spectrometry; VCH: Weinheim, 1987.
4. Lopez-Molinero, A.; Villareal, A.; Castillo, J.R. Classification of emission spectral lines in inductively coupled plasma-atomic emission spectroscopy using principal component analysis. Spectrochim. Acta 1994, 49B, 677-682.
5. Rumelhart, D.E.; McClelland, J.L. Parallel Distributed Processing; MIT Press: Cambridge, MA, 1986.
6. Pao, Y.H. Adaptive Pattern Recognition and Neural Networks; Addison-Wesley: Reading, MA, 1989.
7. Kohonen, T. Self-Organizing Maps; Springer Verlag: Heidelberg, 1995.
8. Zupan, J.; Gasteiger, J. Neural Networks for Chemists, an Introduction; VCH: Weinheim, 1993.
9. Vandeginste, B.G.M.; Massart, D.L.; Buydens, L.M.C.; De Jong, S.; Lewi, P.J.; Smeyers-Verbeke, J. Handbook of Chemometrics and Qualimetrics; Elsevier: Amsterdam, 1998.
10. Lopez-Molinero, A.; Castro, A.; Pino, J.; Perez-Arantegui, J.; Castillo J.R. Classification of ancient Roman glazed ceramics using the neural network of self-organizing map. Fresenius J. Anal. Chem. 2000, 367, 586-589.
11. Yan, L.; Wang, J.; Chen, Z.; Zhou, X. Artificial neural network for the quantitative analysis of air toxic VOCs. Anal. Lett. 2001, 34 (12), 2203-2219.
12. Kim, B.; Park, S. An optimal neural-network plasma model. A case study. Chemom. Intell. Lab. Sys. 2001, 56, 39-50.
13. Martin del Brio, B.; Serrano Cinca, C. Neural Networks in the Capital Markets; John Wiley: New York, 1995.
14. Wiese, W.L.; Martin, G.A. Wavelengths and Transition Probabilities for Atoms and Atomic Ions; U.S. Government Printing Office: Washington, DC, 1980; Vol. II, NSRDS-NBS 68.
15. Winge, R.K.; Peterson, V.J.; Fassel, V.A. Inductively coupled plasma-atomic emission spectroscopy: prominent lines. Appl. Spectrosc. 1979, 33, 206-219.