ANN Based Approach for Estimation of Construction Costs of Sports Fields
Joint Authors
Leśniak, Agnieszka
Juszczyk, Michał
Zima, Krzysztof
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Cost estimates are essential for the success of construction projects.
Neural networks, as the tools of artificial intelligence, offer a significant potential in this field.
Applying neural networks, however, requires respective studies due to the specifics of different kinds of facilities.
This paper presents the proposal of an approach to the estimation of construction costs of sports fields which is based on neural networks.
The general applicability of artificial neural networks in the formulated problem with cost estimation is investigated.
An applicability of multilayer perceptron networks is confirmed by the results of the initial training of a set of various artificial neural networks.
Moreover, one network was tailored for mapping a relationship between the total cost of construction works and the selected cost predictors which are characteristic of sports fields.
Its prediction quality and accuracy were assessed positively.
The research results legitimatize the proposed approach.
American Psychological Association (APA)
Juszczyk, Michał& Leśniak, Agnieszka& Zima, Krzysztof. 2018. ANN Based Approach for Estimation of Construction Costs of Sports Fields. Complexity،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1135960
Modern Language Association (MLA)
Juszczyk, Michał…[et al.]. ANN Based Approach for Estimation of Construction Costs of Sports Fields. Complexity No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1135960
American Medical Association (AMA)
Juszczyk, Michał& Leśniak, Agnieszka& Zima, Krzysztof. ANN Based Approach for Estimation of Construction Costs of Sports Fields. Complexity. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1135960
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135960