- Author
- Lo, S. M. | Liu, M. | Zhang, P. H. | Yuen, R. K. K.
- Title
- Artificial Neural-network Based Predictive Model for Pre-evacuation Human Response in Domestic Building Fire.
- Coporate
- City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong Shenyang Jianzhu University, Shenyang, People's Republic of China
- Journal
- Fire Technology, Vol. 45, No. 4, 431-449, December 2009
- Keywords
- human response | building fires | neural networks | evacuation | occupants | data collection | architecture | algorithms | statistics
- Identifiers
- Adaptive Network based Fuzzy Inference System (ANFIS); artificial neural network (ANN); predictive model; fuzzy-neural network; adaptive network fuzzy inference system; description of the 'layers' in ANFIS architecture; simplified human reaction process; outline of the structured questions; input and output membership functions for the ANFIS; summary of the fire cases; age/physiological characteristics; previous fire experience/training; pre-fire activity; cue acquirement; fuzzy if-then rules; comparison of ANFIS output and checking data