Modeling road construction project cost in the Philippines using the artificial neural network approach

• Main Authors: Roxas, Cheryl Lyne C., Roxas, Nicanor R., Cristobal, Jerald, Hao, Sara Eunice, Rabino, Rachelle Marie G., Revalde, Fulgencio
• Format: text
• Published: Animo Repository 2019
• Subjects: Roads—Design and construction—Estimates > Data processing; Civil Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/147; https://animorepository.dlsu.edu.ph/context/faculty_research/article/1146/type/native/viewcontent
• Institution: De La Salle University

Incomplete data and several unforeseen factors affect the accuracy of project cost estimates, especially during the conceptualization stage. When stakeholders need an immediate estimate of the budget for a project, in-depth cost analysis may take time, sacrificing resources for feasibility studies....