Title :
A generalised CFD learning and prediction system
Author :
Becker, William ; Yu, Xinghuo ; Tu, Jiyuan
Author_Institution :
R. Melbourne Inst. of Technol., Melbourne
Abstract :
An expert system that learns data from Computational Fluid Dynamics (CFD) simulations and presents it to non-expert users of CFDs to make informed design decisions is proposed. The system is responsible for choosing CFDs to run, supervising their running, determining when to halt them and then teaching them to a Neural Network (NN). The system also includes a visualisation tool which displays the effect of CFDs on the output of the NN. A case study is finally presented to demonstrate how the tool has been used with fire simulations.
Keywords :
computational fluid dynamics; data visualisation; expert systems; learning (artificial intelligence); neural nets; computational fluid dynamics; expert learning system; fire simulation; neural network; visualisation tool; Australia; Computational fluid dynamics; Computational modeling; Expert systems; Fires; Intelligent systems; Navier-Stokes equations; Neural networks; Predictive models; Visualization;
Conference_Titel :
Industrial Informatics, 2007 5th IEEE International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4244-0851-1
Electronic_ISBN :
1935-4576
DOI :
10.1109/INDIN.2007.4384844
