Acta Optica Sinica, Volume. 23, Issue 9, 1086(2003)

An Identification Method of Fire Smoke Based on Neural Network

[in Chinese]*, [in Chinese], and [in Chinese]
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    References(5)

    [1] [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] [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] [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] [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] [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

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

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    Paper Information

    Category: Fourier optics and signal processing

    Received: Jun. 14, 2002

    Accepted: --

    Published Online: Jun. 27, 2006

    The Author Email: (zhaojh@ustc.edu.cn)

    DOI:

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