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Deep Learning for Construction Delay Prediction by wolit69839 is a document available to read on EtoBox.

What is Deep Learning for Construction Delay Prediction about?

This study conducts a comparative analysis of deep learning algorithms, specifically Generative Adversarial Networks (GAN), Long Short-Term Memory (LSTM), and Multilayer Perceptron (MLP), for predicting construction project delays in Saudi Arabia. The research finds that GAN outperforms the other algorithms with the highest accuracy of 91%, suggesting that deep learning can significantly enhance delay management in construction projects. The study emphasizes the importance of addressing class imbalances in

Author

wolit69839

Language

EN