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What is Predicting Sequential Design Decisions about?

This paper presents a deep learning-based approach to model and predict sequential design decisions in engineering systems using the function-behavior-structure model and recurrent neural networks. The approach is validated through case studies in solar energy system design, demonstrating superior prediction accuracy compared to traditional models. The findings suggest that human designers utilize both short-term and long-term memory in their decision-making processes, which can enhance human-computer inter

Author

Rishil Shah

Language

EN