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Volumn 49, Issue 7, 1999, Pages 773-783

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

Author keywords

[No Author keywords available]

Indexed keywords

AEROSOL; AMBIENT AIR; ARTICLE; CHEMICAL ANALYSIS; COMPUTER; PRIORITY JOURNAL; SCANNING ELECTRON MICROSCOPY; SOIL;

EID: 0032789157     PISSN: 10473289     EISSN: None     Source Type: Journal    
DOI: 10.1080/10473289.1999.10463848     Document Type: Article
Times cited : (19)

References (18)
  • 3
    • 0000834824 scopus 로고
    • Classification of individual particles based on computer-controlled scanning electron microscopy data
    • 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.
    • (1988) Aerosol Sci. Technol , vol.9 , pp. 133-151
    • Kim, D.S.1    Hopke, P.K.2
  • 4
    • 0000761565 scopus 로고
    • Source apportionment of the El Paso aerosol by particle class balance analysis
    • Kim, D.S.; Hopke, P.K. “Source apportionment of the El Paso aerosol by particle class balance analysis,” Aerosol Sci. Technol. 1988, 9, 221235.
    • (1988) Aerosol Sci. Technol. , vol.9 , Issue.22 , pp. 1235
    • Kim, D.S.1    Hopke, P.K.2
  • 5
    • 0017120827 scopus 로고
    • Adaptive pattern classification and universal recoding, I. Parallel development and coding of neural feature detectors
    • Grossberg, S. “Adaptive pattern classification and universal recoding, I. Parallel development and coding of neural feature detectors,” Biological Cybernetics 1976, 23, 121-134.
    • (1976) Biological Cybernetics , vol.23 , pp. 121-134
    • Grossberg, S.1
  • 6
    • 0017083148 scopus 로고
    • Adaptive pattern classification and universal recoding, II. Feedback, expectation, olfaction, and illusions
    • Grossberg, S. “Adaptive pattern classification and universal recoding, II. Feedback, expectation, olfaction, and illusions,” Biological Cybernetics 1976, 23, 187-203.
    • (1976) Biological Cybernetics , vol.23 , pp. 187-203
    • Grossberg, S.1
  • 7
    • 0025786440 scopus 로고
    • ART-2a—an adaptive resonance algorithm for rapid category learning and recognition
    • 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.
    • (1991) Neural Networks , vol.4 , pp. 493-504
    • Carpenter, G.A.1    Grossberg, S.2    Rosen, D.B.3
  • 8
    • 0029028042 scopus 로고
    • Adaptive resonance theory based neural networks—the ‘ART of real-time pattern recognition in chemical process monitoring,”
    • 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.
    • (1995) Trends Anal. Chem. , vol.14 , pp. 398-406
    • Wienke, D.1    Buydens, L.2
  • 9
    • 0027996269 scopus 로고
    • Airborne particle classification with a combination of chemical composition and shape index utilizing an adaptive resonance artificial neural network
    • 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.
    • (1994) Environ. Sci. Technol. , vol.28 , pp. 1921-1928
    • Xie, Y.1    Hopke, P.K.2    Wienke, D.3
  • 10
    • 0029560063 scopus 로고
    • 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
    • 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.
    • (1995) Anal. Chim. Acta. , vol.317 , pp. 1-16
    • Wienke, D.1    Van Den Broek, W.2    Melssen, W.3    Buydens, L.4    Feldhoff, R.5    Kantimm, T.6    Huth-Fehre, T.7    Quick, L.8    Winter, F.9    Cammann, K.10
  • 11
    • 0030884533 scopus 로고    scopus 로고
    • Classification of single particles by neural networks based on the computer-controlled scanning electron microscopy
    • 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.
    • (1997) Anal. Chim. Acta. , vol.348 , pp. 375-388
    • Hopke, P.K.1    Song, X.-H.2
  • 12
    • 0027538427 scopus 로고
    • Back-propagation neural networks, a tutorial
    • Wythoff, B.J. “Back-propagation neural networks, a tutorial,” Chemom. Intell. Lab. Syst. 1993, 18, 115-155.
    • (1993) Chemom. Intell. Lab. Syst. , vol.18 , pp. 115-155
    • Wythoff, B.J.1
  • 13
    • 0028209684 scopus 로고
    • Using artificial neural networks for solving chemical problems. Part I. Multi-layer feedforward networks
    • 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.
    • (1994) Chemom. Intell. Lab. Syst. , vol.22 , pp. 165-189
    • Smits, J.1    Melssen, W.2    Buydens, L.3    Kateman, G.4
  • 14
    • 0030053412 scopus 로고    scopus 로고
    • Solving the chemical mass balance problem using an artificial neural network
    • Song, X.-H.; Hopke, P.K. “Solving the chemical mass balance problem using an artificial neural network,” Environ. Sci. Technol. 1996, 30, 531-535.
    • (1996) Environ. Sci. Technol. , vol.30 , pp. 531-535
    • Song, X.-H.1    Hopke, P.K.2
  • 15
    • 85011167127 scopus 로고    scopus 로고
    • Application of artificial neural networks to modeling and prediction of ambient ozone concentrations
    • press
    • 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).
    • (1999) J. Air & Waste Manage. Assoc
    • Hadjiiski, L.1    Hopke, P.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.