摘要
针对地震火灾的复杂性和多变性的特点,利用径向基函数网络的自学习、自适应能力和容错性特性,根据地震火灾的历史资料,建立了基于径向基函数网络的地震火灾损失预测模型,并对该模型进行了检验和讨论,说明本方法的适用性,也为其它自然灾害的损失预测提供了简单、有效的方法.
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 discussion. A simple and available method is provided for the prediction of losses of other natural disaster.
出处
《地震学报》
CSCD
北大核心
2007年第1期95-101,共7页
Acta Seismologica Sinica
