Digital library of construction informatics and information technology in civil engineering and construction
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Paper: w78-1993-2-331
| Paper title: | Managing construction knowledge in patterns: a neural network approach |
| Authors: | Hegazy T, Moselhi O, Fazio P |
| Summary: | Neural networks are AI-based computational tools with powerful capabilities of effective capturing and re-use of domain knowledge that are inherently implicit. This paper describes the modelling capabilities of neural networks with respect to construction problems, emphasizing the advantages associated with their representation of knowledge in the form of patterns. Several aspects related to proper management of knowledge are addressed for the purpose of developing practical and more reliable neural network models of complex construction problems. These aspects include: 1) problem structuring and patterns formation; 2) knowledge acquisition and data validation; 3) preparation and transformation of acquired data; and 4) analysis and interpretation of network state of knowledge. Guidelines pertaining to these aspects are provided along with considerations for modelling with noisy data and under high degree of uncertainty. The issues discussed are illustrated through a case study of a neural network for bidding decision support, developed based on knowledge acquired from contractors in Canada and the US. The case study demonstrates neural network modelling and illustrates the benefits gained through better management of acquired knowledge. |
| Type: | |
| Year of publication: | 1993 |
| Keywords: | neural networks; knowledge acquisition; construction; information technology; bidding strategy |
| Series: | w78:1993 |
| ISSN: | 2706-6568 |
| Download paper: | /pdfs/w78-1993-2-331.content.pdf |
| Citation: | Hegazy T, Moselhi O, Fazio P (1993). Managing construction knowledge in patterns: a neural network approach. Mathur K S, Betts M P, Tham K W (editors); Management of information technology for construction; Singapore, August 1993 (ISSN: 2706-6568), http://itc.scix.net/paper/w78-1993-2-331 |
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