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Volumn 55, Issue 1, 1999, Pages 38-46

Gas analysis system composed of a solid-state sensor array and hybrid neural network structure

Author keywords

[No Author keywords available]

Indexed keywords

ARRAYS; MULTILAYER NEURAL NETWORKS; SEMICONDUCTOR DEVICES;

EID: 0032672081     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-4005(99)00040-4     Document Type: Article
Times cited : (17)

References (13)
  • 2
    • 0027676186 scopus 로고
    • A neural network approach to analysing multi component mixtures
    • Broten G.S., Wood H.C. A neural network approach to analysing multi component mixtures. Meas. Sci. Technol. 4:1993;1096-1105.
    • (1993) Meas. Sci. Technol. , vol.4 , pp. 1096-1105
    • Broten, G.S.1    Wood, H.C.2
  • 4
    • 0029370886 scopus 로고
    • Neural networks and abductive networks for chemical sensor signals: A case comparison
    • Sommer V., Tobias P.T., Kohl D., Sundgren H., Lundstrom I. Neural networks and abductive networks for chemical sensor signals: a case comparison. Sens. Actuators B. 28:1995;217-222.
    • (1995) Sens. Actuators B , vol.28 , pp. 217-222
    • Sommer, V.1    Tobias, P.T.2    Kohl, D.3    Sundgren, H.4    Lundstrom, I.5
  • 5
    • 0345647061 scopus 로고    scopus 로고
    • Smart chemical sensing system for analysis of multi-component mixtures of gases
    • Brudzewski K. Smart chemical sensing system for analysis of multi-component mixtures of gases. MST NEWS Poland. 2:1996;1-11.
    • (1996) MST NEWS Poland , vol.2 , pp. 1-11
    • Brudzewski, K.1
  • 9
    • 0030477946 scopus 로고    scopus 로고
    • Fast second order learning algorithm for feedforward multilayer neural networks and its applications
    • Osowski S. Fast second order learning algorithm for feedforward multilayer neural networks and its applications. Neural Netw. 9:1996;1583-1596.
    • (1996) Neural Netw. , vol.9 , pp. 1583-1596
    • Osowski, S.1
  • 10
    • 0027632248 scopus 로고
    • Neural gas network for vector quantitation and its application to time series prediction
    • Martinetz M., Berkowich S., Schulten K. Neural gas network for vector quantitation and its application to time series prediction. IEEE Trans. Neural Netw. 4:1993;558-569.
    • (1993) IEEE Trans. Neural Netw. , vol.4 , pp. 558-569
    • Martinetz, M.1    Berkowich, S.2    Schulten, K.3
  • 13
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik K., Stinchcombe M., White H. Multilayer feedforward networks are universal approximators. Neural Netw. 2:1989;359-366.
    • (1989) Neural Netw. , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.