Application Research on Campus Fire Prediction Using Generalized RBF Network

Su Bin Zhu; Hai Yan Zhu

doi:10.4028/www.scientific.net/AMM.333-335.1288

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335Application Research on Campus Fire Prediction...

Application Research on Campus Fire Prediction Using Generalized RBF Network

Abstract:

Aiming at the complexity of campus fire, the factors in connection with fire is classified as static and dynamic factors. Firstly, points out that the dynamic factors play an important role in the fire. Then, taking the student dormitory area as the research object, and considering the factors of fire comprehensively, a fire prediction method is proposed based on generalized RBF neural network, Finally, by the simulation, the results are shown the proposed method is effective

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Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

1288-1291

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.1288

Citation:

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Online since:

July 2013

Authors:

Su Bin Zhu*, Hai Yan Zhu

Keywords:

Dynamical System, Fire Prediction, Generalized RBF Neural Network

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* - Corresponding Author

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