cqu_11807+ATTACHMENT01+ATTACHMENT01.3.pdf (1.14 MB)
Download fileIntelligent techniques for simulation and modelling
journal contribution
posted on 2017-12-06, 00:00 authored by Wanwu GuoWanwu Guo, CC Hung, Ross ShepherdRoss Shepherd, Z Ma, S KulkarniAn engineering or a scientific problem is often based on some physical natures. To solve such a problem, we need to formulate the problem as a mathematical model in terms of variables, functions, and equations. The process of creating such a model, solving it, and interpreting the result in physical, chemical, geometric, engineering, or other terms is modelling. Such a model is likely comprised of a number of unknown factors, such as temporal and spatial constraints. By varying one or more of these unknown factors within the limits, different outcomes can be generated from the mathematical model and/or solution. These outcomes correlate to different physical, chemical, geometric, engineering scenarios. This model-based iterative mathematical computation is simulation. Modelling and simulation are two different but closely related approaches in many disciplines.
History
Issue
2014Start Page
1End Page
3Number of Pages
3eISSN
1563-5147ISSN
1024-123XLocation
United StatesPublisher
Hindawi Publishing CorporationPublisher DOI
Full Text URL
Language
en-ausPeer Reviewed
- No
Open Access
- No
External Author Affiliations
Dongbei shi fan da xue (China); School of Engineering and Technology (2013- ); Southern Polytechnic State University; TBA Research Institute; University of Ballarat;Era Eligible
- No