Intelligent Learning Algorithms for Smart Infrastructure
摘要
This chapter delves into the transformative role of intelligent learning algorithms in enhancing smart infrastructure within civil engineering. Focusing on the automation of complex decision-making processes, these algorithms significantly improve the efficiency, resilience, and adaptability of infrastructure systems. Through a progressive examination from foundational algorithms to advanced machine learning models, the text illustrates how these sophisticated tools are applied to challenges like predictive maintenance and dynamic traffic management. Highlighting practical case studies, the chapter not only showcases the substantial impacts of these technologies but also explores their performance evaluation and mechanisms for continual adaptation, underscoring a pivotal development in smart infrastructure operations.