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Loss forecasting of earthquake fire based on radial basis function network
作者姓名:王海荣  王明学
作者单位:Department of Fire Engineering The Armed Police Academy Langfang 065000 China,Railway Construction Group of Beijing The Sixth China Railway Engineering Bureau Beijing 100078 China
摘    要:Introduction The earthquake fire is one of main hazards in subsequent hazards of earthquake, which caused much severer damage than the ground motion itself. So it is significant to evaluate and predict loss of earthquake fire as a part of hazard of earthq…

关 键 词:地震  后续灾害  火灾  损失  预测  RBF神经网络
文章编号:1000-9116(2007)01-0098-07
收稿时间:2006-05-23
修稿时间:2006-10-11

Loss forecasting of earthquake fire based on radial basis function network
Wang Hai-rong,and Wang Ming-xue.Loss forecasting of earthquake fire based on radial basis function network[J].Acta Seismologica Sinica(English Edition),2007,20(1):98-104.
Authors:Wang Hai-rong  and Wang Ming-xue
Institution:(1) Department of Fire Engineering, The Armed Police Academy, Langfang, 065000, China;(2) Railway Construction Group of Beijing, The Sixth China Railway Engineering Bureau, Beijing, 100078, China
Abstract:According to complexity and multiplicity of the post-earthquake fire, the loss forecasting model of earthquake fire is established by using radial basis function neural network with adaptability, self-learning and fault-tolerant based on the historical information. The applicability and validity of the model is manifested through testing and discus- sion. A simple and available method is provided for the prediction of losses of other natural disaster.
Keywords:RBF neural network  earthquake fire  loss forecasting
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