- 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