Scipediacontent: Scipediacontent moved page Draft Content 189346344 to Petruseva Pancovska 2020a

2020-09-23T13:38:04Z

Scipediacontent moved page Draft Content 189346344 to Petruseva Pancovska 2020a

Scipediacontent: Created page with "== Abstract == In the last three decades the soft computing methods were used by the research community in almost every branch of construction, providing successful and conve..."

2020-09-23T13:38:01Z

Created page with "== Abstract == In the last three decades the soft computing methods were used by the research community in almost every branch of construction, providing successful and conve..."

New page

== Abstract ==

In the last three decades the soft computing methods were used by the research community in almost every branch of construction, providing successful and convenient solutions for different problems in civil engineering. This paper presents some of the applications of these methods - especially neural networks (NN) and support vector machine (SVM) - in sustainable construction, i.e. its economic, social and environmental aspects. Soft computing applications were made in the last several years by our research team at the Faculty of Civil Engineering in Skopje, N. Macedonia, in collaboration with other authors from our and other countries. Several predictive models were developed using: general regression neural network (GRNN), support vector machine (SVM) and radial basis function neural network (RBF NN), using predictive modelling software DTREG. Applications of these models cover most of the aspects of sustainability in construction. Models were focused on predicting: road structure construction costs, bidding price in construction, sustainability assessment at early facilities design phase, predicting construction cost and construction time and predicting consumption of energy in buildings. Some of the mentioned developed predictive models are hybrid, composed of process-based and data driven models which contributed very much to the improvement of the accuracy of the predicting. The general conclusion is that the soft computing methods are a useful tool for developing models in the area of all aspects of sustainability and their application can lead to increasing sustainability in construction.

== Full document ==
<pdf>Media:Draft_Content_189346344p678.pdf</pdf>

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Petruseva Pancovska 2020a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 189346344 to Petruseva Pancovska 2020a

Scipediacontent: Created page with "== Abstract == In the last three decades the soft computing methods were used by the research community in almost every branch of construction, providing successful and conve..."