249
Views
9
CrossRef citations to date
0
Altmetric
Technical Paper

Source Apportionment of Soil Samples by the Combination of Two Neural Networks Based on Computer-Controlled Scanning Electron Microscopy

, , , , , & show all
Pages 773-783 | Published online: 27 Dec 2011

REFERENCES

  • Hopke, P.K. Receptor Modeling for Air Quality Management; Elsevier: Amsterdam, 1991.
  • Kim, D.S.; Hopke, P.K.; Massart, D.L.; Kaufman, L.; Casuccio, G.S. “Multivariate analysis of CCSEM auto emission data,” Sci. Total Environ. 1987, 59, 141–155.
  • Kim, D.S.; Hopke, P.K. “Classification of individual particles based on computer-controlled scanning electron microscopy data,” Aerosol Sci. Technol. 1988, 9, 133–151.
  • Kim, D.S.; Hopke, P.K. “Source apportionment of the El Paso aerosol by particle class balance analysis,” Aerosol Sci. Technol. 1988, 9, 221235.
  • Grossberg, S. “Adaptive pattern classification and universal recoding, I. Parallel development and coding of neural feature detectors,” Biological Cybernetics 1976, 23, 121–134.
  • Grossberg, S. “Adaptive pattern classification and universal recoding, II. Feedback, expectation, olfaction, and illusions,” Biological Cybernetics 1976, 23, 187–203.
  • Carpenter, G.A.; Grossberg, S.; Rosen, D.B. “ART-2a—an adaptive resonance algorithm for rapid category learning and recognition,” Neural Networks 1991, 4, 493–504.
  • Wienke, D.; Buydens, L. “Adaptive resonance theory based neural networks—the ‘ART’ of real-time pattern recognition in chemical process monitoring,” Trends Anal. Chem. 1995, 14, 398–406.
  • Xie, Y.; Hopke, P.K.; Wienke, D. “Airborne particle classification with a combination of chemical composition and shape index utilizing an adaptive resonance artificial neural network,” Environ. Sci. Technol. 1994, 28, 1921–1928.
  • Wienke, D.; van den Broek, W.; Melssen, W.; Buydens, L.; Feldhoff, R.; Kantimm, T.; Huth-Fehre, T.; Quick, L.; Winter, F.; Cammann, K. “Comparison of an adaptive resonance theory based neural network (ART-2a) against other classifiers for rapid sorting of post-consumer plastics by remote near-infrared spectroscopic sensing using an InGaAs diode array,” Anal. Chim. Acta. 1995, 317, 1–16.
  • Hopke, P.K.; Song, X.-H. “Classification of single particles by neural networks based on the computer-controlled scanning electron microscopy,” Anal. Chim. Acta. 1997, 348, 375–388.
  • Wythoff, B.J. “Back-propagation neural networks, a tutorial,” Chemom. Intell. Lab. Syst. 1993, 18, 115–155.
  • Smits, J.; Melssen, W.; Buydens, L.; Kateman, G. “Using artificial neural networks for solving chemical problems. part I. multi-layer feedforward networks,” Chemom. Intell. Lab. Syst. 1994, 22, 165–189.
  • Song, X.-H.; Hopke, P.K. “Solving the chemical mass balance problem using an artificial neural network,” Environ. Sci. Technol. 1996, 30, 531–535.
  • Hadjiiski, L.; Hopke, P.K. “Application of artificial neural networks to modeling and prediction of ambient ozone concentrations, J. Air & Waste Manage. Assoc., in press (1999).
  • Rumelhart, D.E.; Hinton, G.E.; Williams, R.J. Learning Internal Representations by Error Propagation. In Parallel Distributed Processing: Explorations in the Micro-Structures of Cognition; Rumelhart, D.E.; McCleland, J.L., Eds.; MIT Press: Cambridge, MA, 1986; Vol. 1, pp 318–362.
  • Omar, C.F.; Ashbaugh, L.L.; Matsumura, R.T.; Southhard, R.J.; Flocchini, R.G. Measurement of PM10 Potential from Agricultural Soils Using a Dust Resuspension Test Chamber. In Proceedings, International Conference on Air Pollution from Agricultural Operations; Kansas City, MO, February 7-8, 1996, pp 87–92.
  • Omar, C.F.; Ashbaugh, L.L.; Flocchini, R.G. Characteristics of the UC Davis Dust Resuspension Test Chamber. Presented at the Annual Meeting of the American Association of Aerosol Research, Orlando, FL, 1996.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.