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Application of Regression Analysis and Artificial Nueral Network in Construction Project


Anjana T , CCET Valanchery


Regression, Artificial Nueral Network, Correlation, SPSS Software, MATLAB Software


Project can be defined as a sequence of unique, complex, and attached activities having one goal or purpose and that must be completed by a specific time, within budget, and according to specification. Success of construction projects depends mainly on success of performance of a project. Project performance is predicted mainly based on the four performance metrics i.e., schedule and quality performance. This study is carried out to identify the factors affecting the performance of construction project and their significance on the schedule, and quality performance. The next objective of this research is to develop regression models and neural network models to predict schedule performance and quality performance.

Other Details

Paper ID: IJSRDV7I30989
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 1597-1599

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