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This is a Systematic Review study.

September 17, 2025BuildingsOpen Access

Understanding Artificial Neural Networks as a Transformative Approach to Construction Risk Management: A Systematic Literature Review

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Artificial neural networks have been effectively used in cost estimation, safety assessment, and schedule prediction tasks.
This review analyzed 84 studies on the applications of ANN models, indicating they offer advantages over traditional methods.
Despite benefits, issues like data quality, computational demands, and output interpretability pose challenges in practical applications.
Integrating ANNs with hybrid approaches like fuzzy logic and genetic algorithms may help overcome existing limitations.

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Implication

Systematic review identifies effective applications of artificial neural networks in risk evaluation and construction safety, suggesting hybrid approaches may improve outcomes.

Cite This Study

Arar et al. (2025) studied this question.

synapsesocial.com/papers/68d45e4e31b076d99fa5e550 https://doi.org/10.3390/buildings15183346

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Implication

Systematic review identifies effective applications of artificial neural networks in risk evaluation and construction safety, suggesting hybrid approaches may improve outcomes.

Understanding Artificial Neural Networks as a Transformative Approach to Construction Risk Management: A Systematic Literature Review

Key Points

Discussion

Implication

Cite This Study

Understanding Artificial Neural Networks as a Transformative Approach to Construction Risk Management: A Systematic Literature Review

Key Points

Discussion

Implication

Cite This Study

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