FireDOC Search

displaying 1 - 10 results in total 63

  • Neal, J. A.; Land, C. E.; Avent, R. R.; Churchill, R. J.
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    Application of Artificial Neural Netwoks to Machine Vision Flame Detection. Final Report. May 1990-November 1990.
    American Research Corporation of Virginia, Radford, VA
    Air Force Engineering and Services Center, Tyndall AFB, FL, ESL-TR-90-49, April 1991, 58 p.

  • Zawierucha, R.; McIlroy, K.; Mazzarella, R. B.
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    Promoted Ignition-Combustion Behavior of Selected Hastelloys in Oxygen Gas.
    Union Carbide Industrial Gases Inc., Tonawanda, New York
    ASTM STP 1111,
    American Society for Testing and Materials. Flammability and Sensitivity of Materials in Oxygen-Enriched Atmospheres. Volume 5. Symposium Sponsored by ASTM Committee G-4 on Compatibility and Sensitivity of Materials in Oxygen Enriched Atmospheres. ASTM STP 1111. May 14-16, 1991, ASTM, Philadelphia, PA, Cocoa Beach, FL, Stoltzfus, J. M.; McIlroy, K., Editors, 270-287 p., 1991

  • Oizumi, T.; Saito, K.; Gruver, W. A.
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    Fire Detection and Extinguishment System Using Fuzzy Inference and Neural Networks.
    Kentucky Univ., Lexington
    Interscience Communications Ltd.; National Institute of Standards and Technology; Building Research Establishment; and Society of Fire Protection Engineers. Interflam 1993. (Interflam '93). Fire Safety. International Fire Conference, 6th. March 30-April 1, 1993, Interscience Communications Ltd., London, England, Oxford, England, Franks, C. A., Editors, 281-286 p., 1993

  • Ishii, H.; Ono, T.; Yamauchi, Y.; Ohtani, S.
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    Fire Detection System by Multi-Layered Neural Network With Delay Circuit.
    Nihon Univ., Tokyo, Japan; Hochiki Corp., Tokyo, Japan
    International Association for Fire Safety Science. Fire Safety Science. Proceedings. 4th International Symposium. July 13-17, 1994, Intl. Assoc. for Fire Safety Science, Boston, MA, Ottawa, Ontario, Canada, Kashiwagi, T., Editors, 761-772 p., 1994

  • Meacham, B. J.
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    Use of Artificial Intelligence Techniques for Signal Discrimination in Fire Detection Systems.
    FireTech, Meilen, Switzerland
    Journal of Fire Protection Engineering, Vol. 6, No. 3, 125-136, 1994

  • Milke, J. A.; McAvoy, T. J.
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    Analysis of Signature Patterns for Discriminating Fire Detection With Multiple Sensors.
    Maryland Univ., College Park
    Fire Technology, Vol. 31, No. 2, 120-136, May 1995
    National Institute of Standards and Technology, Gaithersburg, MD,

  • Milke, J. A.
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    Application of Neural Networks for Discriminating Fire Detectors.
    Maryland Univ., College Park
    National Institute of Standards and Technology, Gaithersburg, MD,
    University of Duisburg. International Conference on Automatic Fire Detection "AUBE '95", 10th. April 4-6, 1995, Duisburg, Germany, Luck, H., Editors, 213-222 p., 1995

  • Thuillard, M.
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    Development of Fuzzy Inference Rules in a Linear Smoke Detector With a New Neuro-Fuzzy Method.
    Cerberus AG, Maennedorf, Switzerland
    University of Duisburg. International Conference on Automatic Fire Detection "AUBE '95", 10th. Proceedings. [Internationale Konferenz uber Automatischen Brandentdeckung.] April 4-6, 1995, Duisburg, Germany, Luck, H., Editors, 329-335 p., 1995

  • Hosokawa, M.
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    Study of Fire Judging Rule Using Fuzzy Reasoning: Application of Neural Networks.
    Report of Fire Research Institute of Japan, No. 78, 33-40, September 1994

  • Suzuki, T.; Ishida, M.
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    Neural Network Techniques Applied to Predict Flammability Limits of Organic Compounds.
    Tokyo Institute of Technology, Yokohama, Japan
    Fire and Materials, Vol. 19, No. 4, 179-189, July/August 1995