Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10005
Title: ANN-based mark-up estimation system with self-explanatory capacities
Authors: Li, H 
Shen, LY
Love, PED
Issue Date: 1999
Publisher: American Society of Civil Engineers
Source: Journal of construction engineering and management, 1999, v. 125, no. 3, p. 185-189 How to cite?
Journal: Journal of construction engineering and management 
Abstract: Artificial neural networks (ANNs) have been applied to support construction mark-up estimation. The major drawback of this application, however, is that an ANN system is unable to explain why and how a particular recommendation is made. This significantly affects the user-acceptance of the system and its results. The research presented in this paper investigates the use of the KT-1 method for automatically extracting rules from a trained neural network. The KT-1 method is implemented and tested on collected bidding data, and the results from the investigation indicate the usefulness of the KT-1 method. Discussions on the difficulties of generating automated explanations are also presented.
URI: http://hdl.handle.net/10397/10005
ISSN: 0733-9364
EISSN: 1943-7862
DOI: 10.1061/(ASCE)0733-9364(1999)125:3(185)
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