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Volumn 3, Issue , 2005, Pages 1959-1964

Optical flame detection using large-scale artificial neural networks

Author keywords

[No Author keywords available]

Indexed keywords

CONJUGATE-GRADIENT (CG); FLAME DETECTION; SHORT TIME FOURIER TRANSFORMS;

EID: 33750121006     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556180     Document Type: Conference Paper
Times cited : (10)

References (20)
  • 1
    • 33750119077 scopus 로고    scopus 로고
    • Digital Multi-Frequency Flame Detector, US. Patent No. 6, 150, 659, November 21
    • Shankar Baliga, Herb Rabe, Brett Bleacher. "Digital Multi-Frequency Flame Detector," US. Patent No. 6, 150, 659, November 21, 2000.
    • (2000)
    • Baliga, S.1    Rabe, H.2    Bleacher, B.3
  • 2
    • 33750105467 scopus 로고    scopus 로고
    • Dual Wavelength Fire Detection Method and Apparatus, US. Patent No. 5, 850, 182, December 15
    • Fred Schuler. "Dual Wavelength Fire Detection Method and Apparatus," US. Patent No. 5, 850, 182, December 15, 1998.
    • (1998)
    • Schuler, F.1
  • 3
    • 33750138639 scopus 로고
    • Method For Detecting A Fire Condition, US. Patent No. 5, 373, 159, December 13
    • Ephraim Goldenberg, Tal Olami, Jacob Arian. "Method For Detecting A Fire Condition", US. Patent No. 5, 373, 159, December 13, 1994.
    • (1994)
    • Goldenberg, E.1    Olami, T.2    Arian, J.3
  • 4
    • 0006471337 scopus 로고
    • Analysis of signature patterns for discriminating fire detection with multiple sensors
    • Second Quarter
    • J.A. Milke and T.J. McAvoy. "Analysis of Signature Patterns for Discriminating Fire Detection with Multiple Sensors," Fire Technology, Second Quarter 1995.
    • (1995) Fire Technology
    • Milke, J.A.1    McAvoy, T.J.2
  • 7
    • 33750094491 scopus 로고    scopus 로고
    • Flame Detection System, U.S. Patent No. 10 /894,570, submitted in July
    • Gary Shubinsky, Shankar Baliga, Javid Huseynov, Zvi Boger. "Flame Detection System," U.S. Patent No. 10 /894,570, submitted in July 2004.
    • (2004)
    • Shubinsky, G.1    Baliga, S.2    Huseynov, J.3    Boger, Z.4
  • 8
    • 0035483534 scopus 로고    scopus 로고
    • Joint time-frequency resolution of signal analysis using Gabor transform
    • October
    • Tomasz P. Zielinski. "Joint time-frequency resolution of signal analysis using Gabor transform." In: IEEE Transactions on Instrumentation and Measurement, Volume 50, No.5, October 2001
    • (2001) IEEE Transactions on Instrumentation and Measurement , vol.50 , Issue.5
    • Zielinski, T.P.1
  • 10
    • 0000293183 scopus 로고
    • Theory of communication
    • Dennis Gabor. Theory of communication, J. IEE (London), vol.93, pp. 429-457, 1946.
    • (1946) J. IEE (London) , vol.93 , pp. 429-457
    • Gabor, D.1
  • 12
    • 0000293377 scopus 로고
    • Backpropagation learning for multi-layer feed-forward neural networks using the conjugate gradient method
    • E. M. Johansson, F. U. Dowla, D. M. Goodman. "Backpropagation learning for multi-layer feed-forward neural networks using the conjugate gradient method," International Journal of Neural Systems, 2(4), pp. 291301, 1992.
    • (1992) International Journal of Neural Systems , vol.2 , Issue.4 , pp. 291301
    • Johansson, E.M.1    Dowla, F.U.2    Goodman, D.M.3
  • 13
    • 0141703519 scopus 로고    scopus 로고
    • Artificial neural networks methods for the identification of the most relevant genes from gene expression array data
    • Portland, OR, July
    • Zvi Boger. "Artificial Neural Networks Methods for the Identification of the Most Relevant Genes from Gene Expression Array Data," International Joint Conference on Neural Networks, ICJNN'03, Portland, OR, July 2003.
    • (2003) International Joint Conference on Neural Networks, ICJNN'03
    • Boger, Z.1
  • 14
    • 0001991491 scopus 로고
    • Application of principal component analysis to the design of neural networks
    • Hugo Guterman. "Application of Principal Component Analysis to the design of neural networks," Neural, Parallel and Scientific Computations, vol. 2, pp. 43-54, 1994.
    • (1994) Neural, Parallel and Scientific Computations , vol.2 , pp. 43-54
    • Guterman, H.1
  • 17
    • 0142071014 scopus 로고    scopus 로고
    • Selection of the quasi-optimal inputs in chemometric modeling by artificial neural network analysis
    • Zvi Boger. "Selection of the quasi-optimal inputs in chemometric modeling by artificial neural network analysis," Analytica Chimica Acta, vol. 490 (1-2), pp. 31-40, 2003.
    • (2003) Analytica Chimica Acta , vol.490 , Issue.1-2 , pp. 31-40
    • Boger, Z.1
  • 20
    • 0025403609 scopus 로고
    • Improvement of the Backpropagation Algorithm for training neural networks
    • J. Leonard and M. A. Kramer. "Improvement of the Backpropagation Algorithm for training neural networks", Computers Chemical Engineering, 14(3), pp. 337-341, 1990.
    • (1990) Computers Chemical Engineering , vol.14 , Issue.3 , pp. 337-341
    • Leonard, J.1    Kramer, M.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.