Items with Index Term: feedforward

Abraham, D M (1990) A state-based framework using indicators for construction monitoring and evaluation. PhD thesis, University of Maryland, College Park, USA.

Alves, J. L.; Almeida Filho, A. T. D.; Bradaschia, F. and Palha, R. P. (2026) Solarisbim.AI: Smart sustainable building planning with BIM-based solar-production estimation using machine-learning radiation forecasts. Journal of Construction Engineering and Management, 152(6): 04026076, ISSN 0733-9364

Bae, J (2025) Supervised learning to covering cost risk through post-construction evaluation of transportation projects by project delivery methods. Engineering, Construction and Architectural Management, 32(9), pp. 5863-5884. ISSN 0969-9988

Cheng, M Y; Chang, Y H and Korir, D (2019) Novel approach to estimating schedule to completion in construction projects using sequence and nonsequence learning. Journal of Construction Engineering and Management, 145(11): 04019072, ISSN 0733-9364

Hansen, K L and Vanegas, J A (2003) Improving design quality through briefing automation. Building Research & Information, 31(5), pp. 379-386. ISSN 0961-3218

Hasanzadeh, S; Esmaeili, B and Dodd, M D (2018) Examining the relationship between construction workers' visual attention and situation awareness under fall and tripping hazard conditions: Using mobile eye tracking. Journal of Construction Engineering and Management, 144(7): 04018060, ISSN 0733-9364

Heravi, G and Eslamdoost, E (2015) Applying artificial neural networks for measuring and predicting construction-labor productivity. Journal of Construction Engineering and Management, 141(10): 04015032, ISSN 0733-9364

Jang, Y; Jeong, I B; Cho, Y K and Ahn, Y (2019) Predicting business failure of construction contractors using long short-term memory recurrent neural network. Journal of Construction Engineering and Management, 145(11): 04019067, ISSN 0733-9364

Lam, K C; Hu, T; Ng, S T; Skitmore, M and Cheoung, S O (2001) A fuzzy neural network approach for contractor prequalification. Construction Management and Economics, 19(2), pp. 175-188. ISSN 01446193

Meinke, A; Hawighorst, M; Wagner, A; Trojan, J and Schweiker, M (2017) Comfort-related feedforward information: Occupants' choice of cooling strategy and perceived comfort. Building Research & Information, 45(1-2), pp. 222-238. ISSN 0961-3218

Moon, S; Zekavat, P R and Bernold, L E (2017) Dynamic quality control of process resource to improve concrete supply chain. Journal of Construction Engineering and Management, 143(5): 04016130, ISSN 0733-9364

Nemati, M A and Rastaghi, Z (2024) Quality assessment of on-campus student housing facilities through a holistic post-occupancy evaluation (A case study of Iran). Architectural Engineering and Design Management, 20(4), pp. 719-740. ISSN 1745-2007

Sakib, M N; Chaspari, T and Behzadan, A H (2022) A feedforward neural network for drone accident prediction from physiological signals. Smart and Sustainable Built Environment, 11(4), pp. 1017-1041. ISSN 2046-6099

Tam, C M; Tong, T K L and Tse, S L (2002) Artificial neural networks model for predicting excavator productivity. Engineering, Construction and Architectural Management, 9(5-6), pp. 446-452. ISSN 0969-9988