Artificial Neural Network Analysis for Cost Estimation of Building Projects in India
In Construction Management, it is difficult to predict the cost estimate during the preliminary stage of the project because of limited information and unknown factors. Artificial Neural Networks can help in the prediction of estimate because of their simplicity and adaptability to non-linear probl...
Saved in:
| Main Authors: | Ankita Gupta, Piyali Debnath |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Alanya Üniversitesi
2022-05-01
|
| Series: | Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA |
| Subjects: | |
| Online Access: | https://journal.iccaua.com/jiccaua/article/view/25 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
EFFECTS OF INACCURATE COST ESTIMATE ON CONSTRUCTION PROJECT STAKEHOLDERS
by: Abiodun AWOSINA, et al.
Published: (2018-10-01) -
Identifying the effective factors in the proper estimation of the time and cost of completion of construction projects using factor analysis (Case study: commercial and residential buildings in Arak)
by: Sayad Hamid Lajevardi, et al.
Published: (2023-10-01) -
The Impact of Design Team Characteristics on Construction Project Performance with the Mediating Role of Construction Project Costs
by: Parisa Khorashadi Moghaddam, et al.
Published: (2025-01-01) -
Artificial Neural Networks Application for the Croatian School Maintenance Cost Estimation
by: Ksenija Tijanić Štrok
Published: (2025-01-01) -
Relationship between costs and perceptions of infrastructure projects
by: Marijo Lovrinčević, et al.
Published: (2022-04-01)