- 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