基于ANFIS的火灾中人员疏散反应时间的研究  

Research on Human Evacuation Response Time in Fire based on ANFIS

作　　者：张树平[1] 吴强[1] 毕伟民[1] 

机构地区：[1]西安建筑科技大学,西安710055

出　　处：《建筑科学》2009年第2期97-100,共4页Building Science

基　　金：陕西省教育厅专项科研计划项目(07JK072)

摘　　要：本文利用自适应性模糊神经网络(ANFIS),建立了紧急状态下人员疏散行动开始时间的预测模型。在关于火灾状态下人员疏散行为反应数据的基础上,利用BP机制对采集到的数据样本进行训练和检验,对火灾状况下人员疏散反应时间进行了预测,为进一步实现人员疏散行为的模拟提供了依据。In this paper, with the adaptive fuzzy neural network （ANFIS）, the forecast model for the starting time of human evacuation behavior under emergent state was established. And then, on the basis of the data for the behavior of human evacuation under the fire condition, BP mechanism was used to train and test the collected data samples, and forecast the response time of human evacuation under the fire condition. As a result, the reference for further implementation of the simulation of human evacuating behavior was provided.

关 键 词：ANFIS 火灾 人的行为 疏散 

分 类 号：TU998.1[建筑科学—市政工程]