节点文献
基于小波神经网络的建筑火灾预测模型及应用
Predicting model and its application to building fire based on wavelet neural network theory
【摘要】 随着我国城乡建设的飞速发展,建筑火灾形势日趋严峻,依靠传统的管理技术和方法已远远不能适应社会和民众对安全的需要。针对某城市建筑火灾非线性时间序列,建立了小波神经网络(WNN)预测模型,计算分析证明了该模型的可行性。该模型可与消防工作相结合,建立和实施城乡综合防灾减灾系统,实现城乡综合防灾减灾的科学管理。
【Abstract】 With the rapid development of the construction of the city and the country, the building fire situation becomes severer and severer, and the traditional measures of management is no longer fitted for the needs for the safety of the society and people. According to nonlinear time series of a building fire in some city, the forecast model is set up based on the wavelet neural network in this paper. The feasibility of the model is proved by way of calculating and analyzing. The suggestions are proposed that the fire-protection work has to be combined with the model, and the colligation system of disaster-defend and disaster-decrease is scientifically managed in the city and the country.
【Key words】 wavelet neural network; nonlinear time series; building fire; prediction model;
- 【文献出处】 铁道科学与工程学报 , 编辑部邮箱 ,2005年02期
- 【分类号】TU998.12
- 【被引频次】21
- 【下载频次】337