Items with Index Term: feed forward

Golizadeh, H and Namini, S B (2015) Predicting the significant characteristics of concrete containing palm oil fuel ash. Journal of Construction in Developing Countries, 20(1), pp. 85-98. ISSN 1823-6499

Meistad, Torill Randi (2015) Sustainable building: From role model projects to industrial transformation. PhD thesis, Norges Teknisk-Naturvitenskapelige Universitet, Norway.

Mensah, I; Adjei-Kumi, T and Nani, G (2016) Duration determination for rural roads using the principal component analysis and artificial neural network. Engineering, Construction and Architectural Management, 23(5), pp. 638-656. ISSN 0969-9988

Mohammed Abdelkader, E; Zayed, T; Elshaboury, N and Taiwo, R (2025) A hybrid Bayesian optimization-based deep learning model for modeling the condition of saltwater pipes in Hong Kong. International Journal of Construction Management, 25(1), pp. 46-62. ISSN 1562-3599

Nani, G; Mensah, I and Adjei-Kumi, T (2017) Duration estimation model for bridge construction projects in Ghana. Journal of Engineering, Design and Technology, 15(6), pp. 754-777.

Olanrewaju, A A L (2012) Quantitative analysis of defects in university buildings: User perspective. Built Environment Project and Asset Management, 2(2), pp. 167-181. ISSN 2044-124X

Sanni-Anibire, M O and Hassanain, M A (2016) Quality assessment of student housing facilities through post-occupancy evaluation. Architectural Engineering and Design Management, 12(5), pp. 367-380. ISSN 1745-2007

Umuhoza, E and An, S H (2024) Ann model predicting quality performance for building construction projects in Rwanda. International Journal of Construction Management, 24(15), pp. 1679-1688. ISSN 1562-3599

Zayed, T M and Halpin, D W (2005) Pile construction productivity assessment. Journal of Construction Engineering and Management, 131(6), pp. 705-714. ISSN 0733-9364

al Nageim, H; Nagar, R and Lisboa, P J G (2007) Comparison of neural network and binary logistic regression methods in conceptual design of tall steel buildings. Construction Innovation, 7(3), pp. 240-253. ISSN 1471-4175