• Acta Optica Sinica
  • Vol. 23, Issue 9, 1086 (2003)
[in Chinese]*, [in Chinese], and [in Chinese]
Author Affiliations
  • [in Chinese]
  • show less
    DOI: Cite this Article Set citation alerts
    [in Chinese], [in Chinese], [in Chinese]. An Identification Method of Fire Smoke Based on Neural Network[J]. Acta Optica Sinica, 2003, 23(9): 1086 Copy Citation Text show less
    References

    [1] Aggarwal S, Motevalli V. Study of smoke generated by non-flaming sources for fuel identification. In: AUBE ′95 Proceedings 10th International Conference on Automatic Fire Detection. Duisburg, Germany, 16~18 March 1995, 180~193

    [2] Okayama Y. Approach to detection of fires in their early stage by odor sensors and neural net. In: Fire Safety Science-Proceedings of 3rd International Symposium. Edinburgh, UK, 1991, 955~964

    [3] Okayama Y. A primitive study of a fire detection method controlled by artificial neural net. Fire Safety J., 1991, 17(6):535~553

    [4] Chen Y, Serio M A, Athyamoorthy S. Development of a fire detection system using FT-IR spectroscopy and artificial neural networks. In: Fire Safety Science-Proceedings of the 6th International Symposium. Poitiers, France, 5~9, July 1999, 791~802

    [12] The Math Works, Inc. Neural Network Toolbox User′s Guide, Natick: The Math Works Inc, 2001

    CLP Journals

    [1] Jianjun Mei, Wei Zhang. Early Fire Detection Algorithm Based on ViBe and Machine Learning[J]. Acta Optica Sinica, 2018, 38(7): 0710001

    [in Chinese], [in Chinese], [in Chinese]. An Identification Method of Fire Smoke Based on Neural Network[J]. Acta Optica Sinica, 2003, 23(9): 1086
    Download Citation