Application of Fuzzy ARTMAP to Investigation of Fire Phenomena

详细信息    查看全文 | 下载全文 | 推荐本文 |

• 作者：LEE WaimingYUEN KwokkitSE MeikingHUANG Hechao
• 会议时间：2004-12-01
• 关键词：artificial intellegence ; compartmental ; fire Phenomena ; fuzzy artmap ; neural network
• 作者单位：Fire Safety and Disaster Prevention Research Group,Department of Building and Construction,City University of Hong Kong,Hong Kong,China
• 母体文献：中国灾害防御协会风险分析专业委员会第一届年会论文集
• 会议名称：中国灾害防御协会风险分析专业委员会第一届年会
• 会议地点：北京
• 主办单位：中国灾害防御协会
• 语种：chi

摘要

Flashover is extremely hazardous to both lives and properties.Different mathematical models in the form of differential equations have been developed for predicting the occurrence of flashover.The accuracy of the prediction is highly dependent on the sophistication of the mathematical models and the corresponding computational codes.Expensive computer resources are usually required for execution of the simulation programs.Over the past decade,the Artificial Neural Network (ANN)has been proven to be an efficient tool for the analysis of non-linear systems.Its applications cover a wide variety of fields for the prediction of physical phenomena and system behaviour,classification and decision making.In fire dynamics studies,a typical multi-layer perception in form of feedforward and recurrent network architectures has been applied successfully.In the current study,the Fuzzy-ARTMAP(FAM),which was developed by Grossberg in 1992,is used to determinethe occurrence of flashover for enclosures with different geometrical parameters and fire sizes.The FAM is a specially designed self-organizing ANN particular for supervised clustering.Data sets can be clustered into different categories by comparing the fuzzy subset-hood between input and stored patterns.this paper presents the FAM technique which has been employed to map the input fire parameters(i.e.input patterns) to a binary output (i.e.flashover or not).The computations are very cost-effectively in that the computational resources requored are much less as compared to other modelling techniques.Also,an extremely highaccuracy of prediction of the flashover in enclosures,a very non-linear system,has been achieved.