ISSN 2394-5125
 

Research Article 


Transfer Function Selection and Importance Ranking of Time, Cost, and Quality Factors in Project Management of Construction Firms using Back Propagation Neural Network coupled with Multiple Linear Regression based Feature Reduction Approach

Dr. Dante L. Silva, Engr. Kevin Lawrence M. De Jesus, Engr. Bernard Villaverde, John Oliver S. Manaois, Gezelle M. Cangco, Kimberly L. Quintana.

Abstract
There are numerous challenges faced in construction management, such as insufficient management skills, changing scope, and priorities, slow
decision making, misallocation of resources, budget estimation, project conditions, and risks. To achieve a successful project that meet objectives
with customer satisfaction, project engineers need to be sufficiently experienced to identify which constraint is best to utilize in certain conditions.
Project management is essential for a company to develop and manage different project operations, together with leading management devices
and techniques for managing time, cost constraints and meeting challenging requirements for enhanced efficiency. The main purpose of this
research study is to develop a model utilizing the Back Propagation Neural Network as a basis for transfer function selection. Specifically, the study
determined the topology of the best model and finally test the different combinations of parameters. Results showed that Levenberg Marquardt
algorithm was the best training algorithm with hyperbolic tangent sigmoid for the transfer function. The final importance ranking based on the
feature reduction approach performed was Quality, Cost, and Time. Being Quality as the most important factor to project management and Time as
the least important project management factor.

Key words: Artificial Neural Network, Back Propagation, Levenberg Marquardt, Mean Squared Error, Project Management, Triple Constraint.


 
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How to Cite this Article
Pubmed Style

Dr. Dante L. Silva, Engr. Kevin Lawrence M. De Jesus , Engr. Bernard Villaverde, John Oliver S. Manaois, Gezelle M. Cangco, Kimberly L. Quintana. Transfer Function Selection and Importance Ranking of Time, Cost, and Quality Factors in Project Management of Construction Firms using Back Propagation Neural Network coupled with Multiple Linear Regression based Feature Reduction Approach . JCR. 2020; 7(15): 944-951. doi:10.31838/jcr.07.15.135


Web Style

Dr. Dante L. Silva, Engr. Kevin Lawrence M. De Jesus , Engr. Bernard Villaverde, John Oliver S. Manaois, Gezelle M. Cangco, Kimberly L. Quintana. Transfer Function Selection and Importance Ranking of Time, Cost, and Quality Factors in Project Management of Construction Firms using Back Propagation Neural Network coupled with Multiple Linear Regression based Feature Reduction Approach . http://www.jcreview.com/?mno=120048 [Access: June 29, 2020]. doi:10.31838/jcr.07.15.135


AMA (American Medical Association) Style

Dr. Dante L. Silva, Engr. Kevin Lawrence M. De Jesus , Engr. Bernard Villaverde, John Oliver S. Manaois, Gezelle M. Cangco, Kimberly L. Quintana. Transfer Function Selection and Importance Ranking of Time, Cost, and Quality Factors in Project Management of Construction Firms using Back Propagation Neural Network coupled with Multiple Linear Regression based Feature Reduction Approach . JCR. 2020; 7(15): 944-951. doi:10.31838/jcr.07.15.135



Vancouver/ICMJE Style

Dr. Dante L. Silva, Engr. Kevin Lawrence M. De Jesus , Engr. Bernard Villaverde, John Oliver S. Manaois, Gezelle M. Cangco, Kimberly L. Quintana. Transfer Function Selection and Importance Ranking of Time, Cost, and Quality Factors in Project Management of Construction Firms using Back Propagation Neural Network coupled with Multiple Linear Regression based Feature Reduction Approach . JCR. (2020), [cited June 29, 2020]; 7(15): 944-951. doi:10.31838/jcr.07.15.135



Harvard Style

Dr. Dante L. Silva, Engr. Kevin Lawrence M. De Jesus , Engr. Bernard Villaverde, John Oliver S. Manaois, Gezelle M. Cangco, Kimberly L. Quintana (2020) Transfer Function Selection and Importance Ranking of Time, Cost, and Quality Factors in Project Management of Construction Firms using Back Propagation Neural Network coupled with Multiple Linear Regression based Feature Reduction Approach . JCR, 7 (15), 944-951. doi:10.31838/jcr.07.15.135



Turabian Style

Dr. Dante L. Silva, Engr. Kevin Lawrence M. De Jesus , Engr. Bernard Villaverde, John Oliver S. Manaois, Gezelle M. Cangco, Kimberly L. Quintana. 2020. Transfer Function Selection and Importance Ranking of Time, Cost, and Quality Factors in Project Management of Construction Firms using Back Propagation Neural Network coupled with Multiple Linear Regression based Feature Reduction Approach . Journal of Critical Reviews, 7 (15), 944-951. doi:10.31838/jcr.07.15.135



Chicago Style

Dr. Dante L. Silva, Engr. Kevin Lawrence M. De Jesus , Engr. Bernard Villaverde, John Oliver S. Manaois, Gezelle M. Cangco, Kimberly L. Quintana. "Transfer Function Selection and Importance Ranking of Time, Cost, and Quality Factors in Project Management of Construction Firms using Back Propagation Neural Network coupled with Multiple Linear Regression based Feature Reduction Approach ." Journal of Critical Reviews 7 (2020), 944-951. doi:10.31838/jcr.07.15.135



MLA (The Modern Language Association) Style

Dr. Dante L. Silva, Engr. Kevin Lawrence M. De Jesus , Engr. Bernard Villaverde, John Oliver S. Manaois, Gezelle M. Cangco, Kimberly L. Quintana. "Transfer Function Selection and Importance Ranking of Time, Cost, and Quality Factors in Project Management of Construction Firms using Back Propagation Neural Network coupled with Multiple Linear Regression based Feature Reduction Approach ." Journal of Critical Reviews 7.15 (2020), 944-951. Print. doi:10.31838/jcr.07.15.135



APA (American Psychological Association) Style

Dr. Dante L. Silva, Engr. Kevin Lawrence M. De Jesus , Engr. Bernard Villaverde, John Oliver S. Manaois, Gezelle M. Cangco, Kimberly L. Quintana (2020) Transfer Function Selection and Importance Ranking of Time, Cost, and Quality Factors in Project Management of Construction Firms using Back Propagation Neural Network coupled with Multiple Linear Regression based Feature Reduction Approach . Journal of Critical Reviews, 7 (15), 944-951. doi:10.31838/jcr.07.15.135





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