Application of Regression Analysis and Artificial Nueral Network in Construction Project |
Author(s): |
| Anjana T , CCET Valanchery |
Keywords: |
| Regression, Artificial Nueral Network, Correlation, SPSS Software, MATLAB Software |
Abstract |
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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 |
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Paper ID: IJSRDV7I30989 Published in: Volume : 7, Issue : 3 Publication Date: 01/06/2019 Page(s): 1597-1599 |
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