Cost Evaluation of Constructions using Artificial Neural Network (ANN)

Accurate cost estimation at the earl y stage of a construction project is the key factor in a project success. But it is difficult to quickly and ac curately estimate construction costs at the planning stage, when drawings, documentation and the like are still incomplete. The aim of construction cost forecasting is to provide an estimate of a construction c ontract. Construction clients are interested in kn owing their financial commitment before the completion of a detailed design. There are various methods used by estimators to forecast the construction cost of building and civil engineering projects. The objective of this study is to find the cost estimation by using Artifici al Neural Network (ANN). Finally the accuracy of these models is identified with realistic estimated value. The method used to develop a neural network model analysis using Microsoft Excel Solver and trained in MATLab software. This paper efforts are made to establish complete analysis of 20 papers published related to ANN in construction. This paper discusses different research papers, articles, case studies that have been published in this field. There is great scope for ANN in the constructions cost estimation in futur e