The Automated Cost Estimation in Construction
Mohammad Kabir Yaqubi1, Sandeep Salhotra2
1Mohammad Kabir Yaqubi, Department of Civil Engineering, Chandigarh University, Punjab, India.
2Sandeep Salhotra, Department of Civil Engineering, Chandigarh University, Chandigarh, Punjab, India.
Manuscript received on 05 May 2019 | Revised Manuscript received on 12 May 2019 | Manuscript published on 30 May 2019 | PP: 845-849 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5794058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The importance of decision-making in cost estimation for the building design process signifies the requirement for both designers and project managers. This article examines the usefulness of neural network methodology to address costs assessment at early stages of building design. The data is collected from 10 educational projects constructed in India. An automatic cost estimation GUI is prepared in MATLAB simulator to calculate the total cost of a construction project. Artificial intelligence is used to train the system on the basis of the data collected from 10 different projects and cost has been analyzed with higher accuracy. From the experiment it is observed that the use of artificial neural network helps the project participants to analyze total cost in a very small time.
Keyword: Automated Cost Estimation, Educational Projects, Built Up Area, Ground Coverage Area, Utilities, ANN.
Scope of the Article: Construction Engineering