INTELLIGENT SECURITY SYSTEMS ENGINEERING FOR MODELING FIRE CRITICAL INCIDENTS:TOWARDS SUSTAINABLE SECURITY

作     者：Ali ASGARY Ali SADEGHI NAINI Jason LEVY 

作者机构：Emergency ManagementYork University Faculty of GeographyUniversity of Tehran Department of Electrical and Computer EngineeringUniversity of Western Ontario Homeland Security and Emergency PreparednessVirginia Commonwealth University 

出 版 物：《Journal of Systems Science and Systems Engineering》 (系统科学与系统工程学报（英文版）)

年 卷 期：2009年第18卷第4期

页      面：477-488页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 0837[工学-安全科学与工程] 071102[理学-系统分析与集成] 

基　　金：Fire Marshall GEOIDE Institute of Infection and Immunity, III 

主　　题：Intelligent security systems engineering fire feed-forward neural networks critical incidents 

摘      要：An intelligent security systems engineering approach is used to analyze fire and explosive critical incidents, a growing concern in urban communities. A feed-forward back-propagation neural network models the damages arising from these critical incidents. The overall goal is to promote fire safety and sustainable security. The intelligent security systems engineering prediction model uses a fully connected multilayer neural network, and considers a number of factors related to the fire or explosive incident including the type of property affected, the time of day, and the ignition source. The network was trained on a large number of critical incident records reported in Toronto, Canada between 2000 and 2006. Our intelligent security systems engineering approach can help emergency responders by improving cr^tical incident analysis, sustainable security, and fire risk management.