- Author
- Lee, E. W. M. | Yuen, R. K. K. | Lo, S. M. | Lam, K. C. | Yeoh, G. H.
- Title
- Novel Artificial Neural Network Fire Model for Prediction of Thermal Interface Location in Single Compartment Fire.
- Coporate
- City University of Hong Kong, People's Republic of China Australian Nuclear Science and Technology Organisation, PMB 1, Menai NSW 2234, Australia
- Journal
- Fire Safety Journal, Vol. 39, No. 1, 67-87, February 2004
- Keywords
- compartment fires | neural networks | fire models | equations | thermal interface | temperature profile
- Identifiers
- artificial neural network (ANN) model, denoted as GRNNFA; variables in Steckler's experiment; prediction results by FDS on the first 10 cases of the Steckler's experiment (average of difference approx. 0.187 m); prediction results by GRNNFA and FDS on the five unseen cases; architecture of the GRNNFA model