Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/992
| Title: | A fifth generation numerical modelling system in coastal zone | Authors: | Chau, KW Chen, W |
Issue Date: | Oct-2001 | Source: | Applied mathematical modelling, Oct. 2001, v. 25, no. 10, p. 887-900 | Abstract: | Nowadays, artificial intelligence (AI) technology is gradually integrated into the numerical modelling system to make the system more intelligent and more user-friendly. The characteristics of the fifth generation numerical modelling are connected with AI applications. The expert system technology as a widely applied AI technology is integrated into our modelling system for coastal water processes with traditional numerical computational tools and the data and graphical pre-processing and post-processing techniques. Five kinds of knowledge bases are built in the system to describe the existing expertise knowledge about model parameters, relations between parameters and physical conditions, various possible selections for parameters and rules of inference. The inference engine is designed to be driven by the confidence of correctness, and the rule base is built with the factor of confidence to link the various relations. The decision tree is designed to drive the inference engine to explore the route of selection procedure of modeling. The decision tree depends on the real problem specifications and can be modified during the dialogue between the system and the user. The forward chaining and backward chaining inference techniques are mixed together in the system to help matching the parameters in the model and the possible selections with sufficiently high confidence. The expert system technology is successfully integrated into the system to provide help for model parameter selection or model selection, and to make the numerical model system more accessible for non-expert users. | Keywords: | Decision tables Graphic methods Inference engines Mathematical models |
Publisher: | Elsevier | Journal: | Applied mathematical modelling | ISSN: | 0307-904X | DOI: | 10.1016/S0307-904X(01)00020-8 | Rights: | Applied Mathematical Modelling © 2001 Elsevier Science Inc. The journal web site is located at http://www.sciencedirect.com. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| AMM2.pdf | Pre-published version | 2.05 MB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
101
Last Week
0
0
Last month
Citations as of Jun 4, 2023
Downloads
137
Citations as of Jun 4, 2023
SCOPUSTM
Citations
17
Last Week
0
0
Last month
0
0
Citations as of Jun 2, 2023
WEB OF SCIENCETM
Citations
17
Last Week
0
0
Last month
0
0
Citations as of Jun 1, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.