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Volumn , Issue , 2009, Pages

Development of recurrent neural networks for virtual sensing of NOx emissions in internal combustion engines

Author keywords

[No Author keywords available]

Indexed keywords

COMBUSTION; EXHAUST GASES; ICE; INTERNAL COMBUSTION ENGINES; SOFTWARE TESTING;

EID: 85072500727     PISSN: 01487191     EISSN: 26883627     Source Type: Journal    
DOI: 10.4271/2009-24-0110     Document Type: Conference Paper
Times cited : (3)

References (19)
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    • (2005) SAE Paper 2005-24-063
    • Alberer, D.1    Del Re, K.2    Winkler, S.3    Langthaler, P.4
  • 2
    • 85072472500 scopus 로고    scopus 로고
    • Models for the Prediction of Performance and Emissions in a Spark Ignition Engine - A Sequentially Structured Approach
    • Section 3, pagg
    • Arsie I., Pianese C., Rizzo G., 1998, Models for the Prediction of Performance and Emissions in a Spark Ignition Engine-A Sequentially Structured Approach, SAE Paper 980779, SAE 1998 Transactions-Journal of Engines, Section 3, Vol. 106, pagg. 1065-1079.
    • (1998) SAE Paper 980779, SAE 1998 Transactions - Journal of Engines , vol.106 , pp. 1065-1079
    • Arsie, I.1    Pianese, C.2    Rizzo, G.3
  • 4
    • 85072481285 scopus 로고    scopus 로고
    • Development and Real-Time Implementation of Recurrent Neural Networks for AFR Prediction and Control
    • Arsie, I., Pianese, C., Sorrentino, M., "Development and Real-Time Implementation of Recurrent Neural Networks for AFR Prediction and Control," SAE Int. J. Passeng. Cars-Mech. Syst. 1 (1): 403-412, 2008.
    • (2008) SAE Int. J. Passeng. Cars - Mech. Syst. , vol.1 , Issue.1 , pp. 403-412
    • Arsie, I.1    Pianese, C.2    Sorrentino, M.3
  • 5
    • 29144452530 scopus 로고    scopus 로고
    • A procedure to enhance identification of recurrent neural networks for simulating air-fuel ratio dynamics in SI engines
    • Arsie, I., Pianese, C., Sorrentino, M., 2006, A procedure to enhance identification of recurrent neural networks for simulating air-fuel ratio dynamics in SI engines, Engineering Applications of Artificial Intelligence, vol. 19 (1), pp. 65-77.
    • (2006) Engineering Applications of Artificial Intelligence , vol.19 , Issue.1 , pp. 65-77
    • Arsie, I.1    Pianese, C.2    Sorrentino, M.3
  • 6
    • 85072482029 scopus 로고    scopus 로고
    • Virtual Sensing: A Neural Network-based Intelligent Performance and Emissions Prediction System for On-Board Diagnostics and Engine Control
    • Atkinson C. M., Long T. W., Hanzevack E. L., 1998, Virtual Sensing: A Neural Network-based Intelligent Performance and Emissions Prediction System for On-Board Diagnostics and Engine Control, SAE paper 980516.
    • (1998) SAE Paper 980516
    • Atkinson, C.M.1    Long, T.W.2    Hanzevack, E.L.3
  • 7
    • 85072467224 scopus 로고    scopus 로고
    • SI Engine Emissions Model Based on Dynamic Neural Networks and D-Optimality
    • Ayeb M., Theuerkauf H. J., Winsel T., 2005, SI Engine Emissions Model Based on Dynamic Neural Networks and D-Optimality, SAE paper 2005-01-0019.
    • (2005) SAE Paper 2005-01-0019
    • Ayeb, M.1    Theuerkauf, H.J.2    Winsel, T.3
  • 13
    • 0002132573 scopus 로고
    • On the Representation of Continuous Functions of Many Variables by Superposition of Continuous Functions of One Variable and Addition, Amer
    • 1965
    • Kolmogorov A. N., 1965, On the Representation of Continuous Functions of Many Variables by Superposition of Continuous Functions of One Variable and Addition, Amer. Math. Society Translations, 28, pp. 55-59, 1965.
    • (1965) Math. Society Translations , vol.28 , pp. 55-59
    • Kolmogorov, A.N.1
  • 18
    • 0031650109 scopus 로고    scopus 로고
    • Virtual Industrial Sensors Trough Neural Networks. Demonstration Examples in Nuclear Power Plants
    • 18-21 May 1998, St. Paul, MN, USA
    • Sevilla J., Pulido C., 1998, Virtual Industrial Sensors Trough Neural Networks. Demonstration Examples in Nuclear Power Plants, Proceedings of the 1998 IEEE Conference on Instrumentation and Measurement Technology, Volume 1, pages 293-297, 18-21 May 1998, St. Paul, MN, USA.
    • (1998) Proceedings of the 1998 IEEE Conference on Instrumentation and Measurement Technology , vol.1 , pp. 293-297
    • Sevilla, J.1    Pulido, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.