Recent years have seen a significant increase in the use of
artificial neural networks in construction engineering and
management. In order to investigate the trend and new
directions of the applications of various ANN algorithms,
more than 100 resources published in peer-reviewed
journals and conference proceedings were screened and
examined. According to the report, ANNs have been
successfully used in cost prediction, scheduling and
optimisation, risk assessment, claims and dispute settlement
results, and decision making. It was noted that ANNs have
been used to address issues that are challenging to resolve
using conventional statistical and mathematical techniques.
When compared to traditional ANNs, the integration of
ANN with other soft computing techniques such as Genetic
Algorithm, Fuzzy Logic, Ant Colony Optimisation,
Artificial Bee Colony, and Particle Swarm Optimisation
often showed better results. The paper offers a thorough
evaluation of artificial neural networks (ANNs) in
construction engineering and management for use in many
fields for increased precision and trustworthy forecasts.