THE AUTOMATED COST ESTIMATION IN CONSTRUCTION - Couverture souple

SALHOTRA, Er. MOHAMMAD KABIR YAQUBI And Prof. SANDEEP

 
9781077050228: THE AUTOMATED COST ESTIMATION IN CONSTRUCTION

Synopsis

The cost increase is a chronic problem for many construction projects. Although important research on this subject has been made, a clear understanding of root causes and improvement has not been investigated yet. The main purpose of the previous study is mainly related to the impact of the project on the environment or related factors and the overall costs of the projects. The importance of cost estimation for decision making in the architectural design process indicates the need to provide estimation tools for designers and project managers. This research studies the utility of neural network methods to overcome cost estimation problems in the early stages of the architectural design process. 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 the early stages of building design. The data is collected from 10 educational projects constructed in India and abroad. 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.

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